
8 Best AI Proposal Software Tools for Government Contractors (September 2026)
Choosing the best AI proposal software for government contractors now means evaluating operating infrastructure, not an experiment. The 2026 Deltek Clarity GovCon Study, based on 917 contractors, reports that 90% of firms use AI in some capacity while only 5% describe their AI maturity as fully developed. That gap matters. This guide compares the leading options on the criteria that decide whether a proposal survives evaluation: planning before drafting, compliance tracing, real bid package structure, cited past performance, and how much of the surrounding capture process the tool can automate.
TL;DR
- The category splits into three groups: full-lifecycle GovCon platforms that combine capture and proposal work (CLEATUS, GovDash, Sweetspot, Procurement Sciences, and Civio); enterprise response platforms built around organization-specific AI and a federal security boundary (AutogenAI and Rohirrim); and a discovery-led suite with proposal tools (SamSearch). ChatGPT and Claude remain flexible general-purpose alternatives rather than GovCon systems of record.
- Planning is the dividing line. Tools that build a compliance matrix, win themes, and a gap analysis before drafting produce submissions that score. Tools that jump straight to prose produce cleanup work.
- The package should already be read by the time you arrive. CLEATUS shreds the full solicitation, amendments and attachments included, automatically on the match, so planning starts from extracted requirements with real page references. Where the analysis only runs once a user triggers it, the first minutes of every pursuit go to waiting, and the draft is grounded in whatever the model skimmed just then.
- Bid packages are not single documents, and they are not Markdown. The software should create the actual folder and file structure: separate volumes, sections mapped to evaluation factors, Section L formatting rules enforced, and real Word and Excel files you open and edit in place rather than a draft you export and hope survives the conversion.
- Automation reach matters as much as writing quality. CLEATUS lets teams build a visual no-code workflow that vets new opportunities, branches on go/no-go criteria, launches the full proposal writer inside the pursuit, waits for the structured bid package to finish, and routes the completed draft into review and team actions.
- Expect a demo-led buying motion across the category. None of the specialist products in this comparison publish full list prices. CLEATUS's entry-level data plans are self-serve; its full plan, like the rest of the field, is scoped through a demo. Price the whole stack you would need, not one module.
- Our top pick is CLEATUS, based on native Word and Excel files you edit right in the writer, its Proposal Plan checklist, planning-first drafting, structured bid packages, AI PDF form fill, and composable workflow automation. Published customer stories report 3× to 6× proposal output, with one team moving from 3 to more than 10 proposals per month.
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How We Evaluated the Best AI Proposal Software for Government Contractors
Every product below was measured against the criteria we laid out in our practical guide to AI proposal writing, which reduce to five questions that separate proposal software from productivity software.
Does it plan before it drafts? An experienced proposal manager reads Section L and Section M, builds a compliance matrix, maps win themes to evaluation factors, and runs a gap analysis before writing a word. Software that skips planning produces fluent text that scores poorly.
Does it produce a real bid package? Federal proposals are multi-volume packages with sections aligned to evaluation factors, page limits, word counts, and formatting rules. A 100-page Word document is a draft, not a submission.
Does it cite real past performance? Section M almost always evaluates past performance, and generic AI hallucinates it. The software needs to pull real awards, with agencies, values, and periods of performance, from your document library and federal award history.
Can you work with it after the first draft? Proposal teams iterate. The tool should take natural-language editing instructions, show tracked changes inline, and re-review the draft against the requirements matrix on demand.
How much of the process around the proposal can it automate? Drafting is one step in a pipeline that starts with finding and qualifying the opportunity. Tools that automate discovery, go/no-go vetting, and review cycles compound their value on every pursuit.
One honest note on method: CLEATUS publishes this comparison, and CLEATUS ranks first in it. Competitor claims are linked to first-party product pages and documentation, re-checked on August 29, 2026, and collected in the sources and verification section. We also tell you specifically where each alternative is a reasonable choice. Several of them are strong products.
The 8 Best AI Proposal Software Tools for Government Contractors
Comparison at a Glance
| Platform | Best for | Proposal approach | Automation beyond writing | Pricing |
|---|---|---|---|---|
| CLEATUS | Small and mid-sized contractors who want the full lifecycle, discovery to submission, in one agentic platform | Full-package solicitation shredding (Contract Breakdown), amendment-aware Proposal Plan checklist, planning files (compliance matrix, win strategy, gap analysis), targeted follow-up questions, structured multi-volume bid packages as native Word and Excel files, agentic editing, AI PDF form fill | No-code AI Workflows: go/no-go vetting, first-draft generation, bid package review, digests and alerts | Entry data plans self-serve; full plan through sales |
| GovDash | Established primes standardized on Microsoft Word and SharePoint | Compliance matrices from the full solicitation package that update with amendments, automatic document classification, past performance matched from the Data Library, Word, PowerPoint, and Excel access with SharePoint export | Triggered Dash Agents, capture CRM, post-award contract module, and pricer module | No public list price; module subscriptions plus credit packs |
| Sweetspot | Teams that want unified federal, SLED, and grants search with drafting attached | RFP shredding with Section C/L/M parsing, capability and compliance matrices, annotated outlines, Pink Team drafts, AI review, and Word editing and export | Agentic Monitors for vendors, agencies, opportunities, and the web; email and Slack alerts | No public list price |
| Procurement Sciences (Awarded AI) | Larger contractors with strict compliance environments (GCC High, air-gapped) | AI Draft and AI Review modules for drafts, outlines, and compliance matrices | Bid search, pipeline, and contacts modules | No public list price |
| AutogenAI | Federal teams whose binding constraint is the security boundary, up to IL5 and IL6 | Qualify and Extract, outline management, first drafts from your library through a custom language engine, agentic research, and Gamma Review, inside a FedRAMP High enclave | Markets the full BD lifecycle from capture strategy to submission; no public workflow builder | No public list price |
| Rohirrim | Large enterprises that want organization-specific proposal automation and human-governed AI | Organization-specific proposal generation, Shred-to-Comply, compliance matrices, and complete drafts | Markets human-governed agents from first signal to final submission; public orchestration details are limited | No public list price |
| Civio RFX | B2G teams that want governed AI teammates working the pursuit from Slack or Microsoft Teams | Governed AI teammates that qualify opportunities, analyze requirements, build compliance matrices, and coordinate the pursuit through submission | AI teammates working under human approval, reachable from Slack or Microsoft Teams | No public list price |
| SamSearch | Small teams prioritizing broad opportunity discovery with an attached proposal generator | AI opportunity chat, attachment summaries, deep match analysis, and a proposal generator and editor attached to contract search | Scheduled searches, opportunity journeys, and GovCon CRM | No public list price; seats plus per-market modules |
| ChatGPT / general-purpose AI | Teams that want flexible analysis and drafting while supplying their own proposal process and controls | Multi-file analysis and drafting with project context; no GovCon-native bid-package or compliance model out of the box | Scheduled or triggered work and MCP apps are available, but require user configuration | Yes |
1. CLEATUS
CLEATUS is an agentic AI platform for the entire GovCon lifecycle, and its AI Proposal Suite is the proposal system we rank first on this list. The difference is architectural: CLEATUS does not treat the proposal as a chat transcript. It treats it as a project with a plan, a file structure, a requirements matrix, and a review loop, run by an agent you direct like a team member.
The files it produces are real Office files, not Markdown. Native Office support landed in August 2026, and it answers the objection every proposal manager raises first: does this thing make an actual volume, or a nice-looking transcript. Every Word document and workbook in your bid package opens in a real editor inside the writer, whether you wrote it or the Government sent it, and PowerPoint decks render for review. The agent drafts prose volumes as Word files and fills a supplied workbook cell by cell, writing back only your cell values, so data validation, protected ranges, charts, pivots, styles, formulas, and macros come back exactly as the agency sent them. Ask it to revise one section and the rest of the document is left alone. No exporting a Markdown draft and hoping the formatting survives, and no downloading a government form to fill it in Word and upload it back. What you send is what you saw on screen.
Every proposal opens with a Proposal Plan. Shipped in August 2026, the Proposal Plan is a checklist built from your specific solicitation, running from "Review the solicitation" through "Format & assemble." Each step breaks into the tasks your RFP actually calls for, with ready-to-send prompts written for that exact step. Hit "Draft all" and the agent works through the step's batch in sequence, and steps check themselves off automatically as documents get drafted, forms get filled, and compliance gets verified. Anyone on your team can open the proposal and see exactly where it stands.
It asks before it guesses. Released alongside the Proposal Plan, targeted follow-up questions kick in when the solicitation and your company materials leave a material decision unresolved: which win themes to lead with, what a missing value should be, what format to export. Instead of inventing an answer, the proposal agent stops mid-task, lays out numbered options with a row for typing your own, applies your answer to the plan and the draft, then continues from where it stopped. Dismiss the question and it proceeds on a sensible default and tells you what it assumed. Generic AI fills those gaps with confident boilerplate; an agent that checks first is the difference between a draft you review and a draft you rewrite.
It is amendment-aware. When the agency issues an amendment, the Proposal Lab detects it, updates the Proposal Plan, and tells you what changed and what your response needs in return. Amendments that quietly move a due date, tighten a page limit, or rewrite a requirement are a classic way otherwise strong proposals go non-compliant; with a plan that reconciles itself against the latest version of the solicitation, you are never working from an outdated copy of the requirements.
And yes, it shreds. Contract Breakdown is the CLEATUS take on RFP shredding: it reads the full solicitation package (the base RFP, amendments, attachments, exhibits), extracts every requirement with section and page references, and organizes the analysis around the familiar Uniform Contract Format so everything lands where a proposal manager expects to find it. The proposal agent draws on that structured analysis while drafting to the response structure the issuing agency actually asked for, which is why requirements trace to real pages instead of hallucinated clauses. A large share of a winning proposal is decided in this analysis, before a word is written.
The timing matters as much as the depth. CLEATUS runs that breakdown automatically when the opportunity matches you, so by the time you decide to bid, the package has already been read and you are not watching a progress bar to ask your first question. It is also what keeps the draft honest. The agent writes from an extracted requirement with a section and page reference behind it, so a citation points at something the agency actually wrote. Drafting from a document the model skimmed at request time is where invented clause numbers and confident, wrong compliance claims come from.
Planning files come before prose. From that breakdown the agent builds the compliance matrix, develops the win strategy and win themes tied to the evaluation criteria in Section M, drafts the proposal outline around the solicitation's own structure, and runs a gap analysis that flags what you still need: resumes, pricing inputs, a teaming partner with a certification you lack. This mirrors how experienced proposal managers actually work, at machine speed.
It builds the real bid package, not one long document. The agent creates folders, subfolders, and separate files for each volume and major section, organized by evaluation factors and subfactors, with word counts, page limits, and formatting rules from Section L respected from the first draft. Every section traces back to requirements in the compliance matrix. It handles spreadsheets for pricing volumes and, with AI PDF form fill, it detects and fills every field on flat, non-typeable government PDFs like reps and certs, ready for your review before download.
The solicitation sits beside the draft, not behind it. The writer's file browser opens on three workspace tabs: Bid Package for the assembled deliverable that goes to the agency, Internal Documents for drafted volumes, planning notes, completed forms, and pricing tables, and Contract Documents for the RFP, amendments, attachments, and forms exactly as they arrived. A fourth Breakdown tab lists every section CLEATUS extracted from the solicitation by its real name, from "A, Solicitation/Contract Form" through "M, Evaluation Factors for Award," and opens any one of them read-only beside your draft. Checking what Section M actually says while you write to it stops being a trip back to the contract page and a hunt for your place on the way home, and what you are reading is exactly what the agent is drafting from.
You edit it agentically. Tell the agent to rewrite the technical approach against evaluation factor 2, strengthen a past performance reference, or review the whole volume against the compliance matrix. Changes appear as inline track changes you accept or undo individually. Past performance is cited from your real award history and Document Hub library, with real agencies, values, and dates. When a question needs real digging, such as an incumbent's award history or an agency's buying pattern, the agent delegates it to subagents that work in their own space, run dozens of searches, and return one structured report, so the research never crowds out the drafting conversation. Before its most consequential actions it stops on an approval card, names the exact target, and waits for you; Auto-approve hands over the keys per workspace once you trust it. When you are done, the full bid package exports as professional PDF or Word documents.
Its biggest differentiator is composable orchestration around the proposal. CLEATUS AI Workflows use a visual builder to connect event or schedule triggers, AI agents, structured extraction, If/Else branches, and product actions. The dedicated Start Proposal step launches the full proposal writer inside the pursuit and can wait for the structured build to finish before downstream steps read the bid package, run a review, create tasks, move the pursuit, or notify the team. Workflows can also be created by describing them in plain English.
The DATA + AI + Automations plan includes the AI Proposal Writer and AI Workflows and is scoped through a sales demo, while entry-level data plans remain self-serve. Customers report the numbers that matter: D2 Government Solutions cut draft time 80% and tripled proposal output without adding staff; MST Maritime went from 3 to 10+ proposals per month with the same team; Operation Hired reached 6× proposal throughput.
Limitations: CLEATUS is a web-native workspace rather than a Word plug-in. Word documents and workbooks now open and edit in place inside the writer and the package exports as DOCX or PDF, but teams whose review process is hard-wired to track changes and comment threads in desktop Microsoft Word will still round-trip through that export. And it is built for the full lifecycle, so a team that truly wants drafting-only software will be paying for discovery and automation muscle it should, frankly, be using.
2. GovDash
GovDash is a strong, enterprise-oriented alternative for established primes. Its proposal product analyzes the entire solicitation package, classifies the documents automatically, generates a compliance matrix that updates with amendments, publishes detailed breakdowns of Sections C, L, and M, and matches past performance by pulling the most relevant contract examples straight from your Data Library and aligning them to requirements. Its distinguishing bet is the Microsoft ecosystem: you reach GovDash directly from Word, PowerPoint, and Excel, insert sourced content with citations, and auto-export to Word or SharePoint, which fits organizations whose proposal reviews live in Word comments. The company claims 60% less development time. The platform has expanded into a capture CRM, a post-award contract module covering CPARS prep and status reports, and a pricing module.
Trade-offs: GovDash publishes packaging but no prices. Its pricing page now describes module subscriptions plus credit packs, with agents discounted 25% inside a subscription, and no per-seat or annual figure anywhere; every path still routes to a quote. Its Dash Agents are meaningful automation: reusable instructions run on a schedule, event, or manual trigger, use scoped sources and actions, write results back to a record, and can call another agent as a sub-agent. Its published documentation still does not show the visual graph of heterogeneous nodes, explicit conditional routing, and dedicated proposal-build action that CLEATUS exposes to customers. Note also that the Pink Team and Red Team drafting levels we cited in August no longer appear on its first-party proposal pages. For a deeper head-to-head, see our GovDash comparison page.
3. Sweetspot
Sweetspot positions itself as AI for government contracting with an all-in-one shape: unified search across federal, SLED, and grant opportunities, pipeline tracking, and a proposal engine in one product. Its current Proposal Engine documents RFP shredding with Section C, L, and M parsing and evaluation-criteria weighting in under ten minutes, which is a shred you start and wait on rather than one that arrives with the match, an auto-generated compliance matrix with owners and completion status, a capability matrix that flags where you need a teaming partner, annotated outlines, Pink Team drafts grounded in an organization library, and automated compliance and quality review. Since our August check it also documents creating and editing Word documents with proper styles and structure, and exporting to Word or Excel for stakeholder review. For teams whose main pain is fragmented discovery across portals and who want proposal production attached to the same tool, it is a sensible package.
Trade-offs: Sweetspot's Agentic Monitors watch vendors, agencies, opportunities, and web sources, then deliver updates through its inbox, email, or Slack. That is useful monitoring, but its public materials do not describe a user-composed workflow graph that can branch on AI output, launch a proposal build, wait for completion, and continue into review and product actions. They also do not document an equivalent to CLEATUS's self-checking Proposal Plan, agentic file and folder operations across a structured multi-volume bid package, or flat-PDF form fill on non-typeable government forms. Pricing is demo-led. See our Sweetspot comparison page for the full breakdown.
4. Procurement Sciences (Awarded AI)
Procurement Sciences sells Awarded AI, an end-to-end platform organized into AI Chat, AI Draft, AI Review, Bid Search, Pipeline, Contacts, and Datahub modules. AI Draft produces proposal drafts, outlines, and compliance matrices, while AI Review runs compliance and quality checks. The company's security page documents SOC 2 Type 2, CMMC Level 2 assessed status, FedRAMP Moderate authorization, Azure Government and GCC High compatibility, and customer-managed deployment options. For defense contractors handling CUI, that posture can be the deciding factor on its own.
Trade-offs: Procurement Sciences does not publish list pricing and sells through a demo-led enterprise motion. Its deployment flexibility and compliance posture are valuable for regulated organizations, but a small contractor should compare the implementation, training, and contract commitment against the speed and cost of a lighter platform. Our Procurement Sciences comparison page covers the differences in detail.
5. AutogenAI
AutogenAI came to federal work from the wider proposal and grants market, and its federal edition is what earns it a place here. AutogenAI Federal is marketed as the only FedRAMP High-authorized platform covering the full BD lifecycle, from capture strategy to compliant submission, hosted in a fully isolated FedRAMP High enclave with no internet-connected AI, no external data flows, and strict logical separation between tenants. The company states zero data retention, sharing, or training outside that boundary, alignment to NIST SP 800-53 Rev 5 and NIST SP 800-171 for CUI handling, DFARS and ITAR requirements, CMMC Level 2, and a design intended for IL5 and IL6 deployments. The product is organized as Qualify and Extract for the bid decision, Manage for custom outlines and progress, Write for a first draft built from your content library through a language engine tuned to your voice, Research for agentic evidence gathering across internal libraries and the web, and Gamma Review for a consolidated review pass.
Trade-offs: the writing engine is the product, and the GovCon operating layer around it is thinner than the platforms above it on this list. AutogenAI's public pages do not document a compliance matrix built from the full solicitation package, structured multi-volume bid-package file operations, flat-PDF form fill, or a user-composed workflow that vets a new opportunity and launches the build. Its published outcome figures, including a 70% increase in drafting speed and a 241% increase in success rates, are company claims rather than independent findings. Pricing is not published. If your binding constraint is the security boundary rather than the workflow, AutogenAI Federal is the one product on this list built around that constraint first, and it belongs on the shortlist for that reason alone.
6. Rohirrim
Rohirrim builds organization-specific generative AI. Its UnifiedRespond platform ingests a company's corpus, maps Sections C, L, and M through Shred-to-Comply, creates compliance matrices, and generates complete proposal drafts in the organization's voice. Its current positioning goes beyond a drafting engine, describing human-governed AI agents that automate work from the first signal through final submission.
Trade-offs: Rohirrim's public materials are clear about the outcome but less specific about the customer-facing orchestration surface: the available triggers, branch logic, downstream actions, and whether users build those flows visually. Pricing is enterprise quote-based. Buyers should ask to see the complete process configured against a real pursuit, not just the generated response.
7. Civio RFX
Civio is a newer entrant, and its positioning moved over the past month: it now calls itself an AI harness for B2G and a "System of Outcomes" rather than an operating system. According to the company's RFX FAQ, Civio RFX is an AI-native platform for government pursuits and RFPs that qualifies opportunities, analyzes requirements, builds compliance matrices, creates drafts, and coordinates the pursuit through submission. The unit of work is a governed AI teammate: an agent given a defined business role, company-specific knowledge, permissions, and human approvals, reachable from Slack or Microsoft Teams. The headline claim is bid alert to first draft in 24 hours.
Trade-offs: Civio's public description is broad but high-level, and it thinned between our August and September checks. The bid tracking, signal data, and API and MCP connectivity its FAQ named a month ago are no longer documented there. It still does not publish a concrete workflow builder, trigger catalog, branch behavior, bid-package file operations, or pricing in enough detail for a feature-by-feature comparison. Ask for those surfaces in a demo and verify them against one of your real solicitations.
8. SamSearch
SamSearch approaches the category from the search side: AI-powered discovery across federal, SLED, DIBBS, grants, and SBIR/STTR markets, with response tools attached. Its published capability list under "analyze and respond" runs to AI opportunity chat, attachment summaries, chat with your own documents, deep opportunity match analysis, a proposal generator, and a proposal editor, alongside scheduled searches, opportunity journeys, and a GovCon CRM, so a small contractor can move from discovery into a response without leaving the product.
Trade-offs: it remains discovery-led, and its public pages do not describe automatic compliance matrices, planning artifacts, or structured multi-volume bid-package operations. Its packaging also changed since our August check: the named Starter, Pro, and Enterprise tiers are gone from the pricing page, replaced by seats plus per-market modules on an annual term, and the company now says plainly that it publishes no figure because "a figure you cannot act on is worse than no figure." You get your number on the call.
What About ChatGPT or Claude?
General-purpose AI is genuinely useful for brainstorming, tightening a paragraph, analyzing solicitation files, or answering FAR questions. ChatGPT Projects can hold multiple uploaded files, instructions, chats, and project memory. Claude Projects provide persistent project knowledge and use retrieval when the knowledge base grows. Neither product starts every session from zero when those features are used.
The limitation is not whether these models can read documents or write good prose. Out of the box, they are not a GovCon system of record with a managed compliance matrix, structured bid-package volumes, live capture and past-performance data, proposal workflow state, or review routing tied to a pursuit. Both can gain tools and actions through integrations, including MCP, but the user or administrator must supply and govern that operating layer. Our deeper argument in Stop Prompt Engineering, Start Winning Contracts is about that missing structure, not model intelligence.
The more useful pattern in 2026 is using general-purpose AI as an interface to purpose-built systems. CLEATUS ships first-party connectors so you can drive your CLEATUS account from Claude or ChatGPT via MCP, which gives you the conversational surface without giving up the structured proposal engine underneath.
The Frontier of AI Proposal Software: Workflows That Deliver the First Draft
The meaningful automation distinction is not whether a product can run something on a schedule. Several products now offer triggered agents or monitors. CLEATUS Workflows are closer to n8n or Zapier purpose-built for GovCon: a team can compose the entire process, react to a business event, reason over live data, branch on the result, take different product actions, launch the real proposal system, wait for its output, and pass that output into the next review step.
With CLEATUS AI Workflows, you can build that process visually or describe the automation in plain English and let the platform assemble the trigger and steps. A capture flow can start when a recommended opportunity arrives, then have an agent vet it against your go/no-go criteria using scope fit, capabilities, past performance, set-aside eligibility, timeline, and your custom deal-breakers. That recommendation already carries a match score computed for your company from the shredded package rather than from a questionnaire somebody filled in, so the workflow refines a decision instead of starting one. For the weighted Pwin scorecard your bid/no-bid meeting itself runs on, we publish a free Pwin calculator alongside our guide to scoring Pwin. An If/Else branch logs rejected opportunities with the reason. Opportunities that pass move into the dedicated Start Proposal step, which launches the full proposal writer inside the pursuit and can wait until the structured bid package is finished. Downstream steps can then read the live package, run a Red Team review, create follow-up tasks, move the pursuit, and notify the team.
The result is a Monday morning where your team is not deciding what to bid; it is reviewing vetted opportunities that already have a planned, structured first draft attached. Review workflows run the same way in reverse: point an agent at the pursuit before submission and it reads the live bid package and runs a final compliance and quality pass. That is what "agentic" means in practice: not a chat window that writes paragraphs, but a system that executes multi-step capture work end-to-end while your team stays in the loop on every decision. Our workflow templates guide has more patterns like this.
"CLEATUS fundamentally changed the way we capture, analyze, and build proposals. We tripled our output without adding staff, and the platform finally moves at the speed our workflow demands."
– John Garnish, Business Development Lead, D2 Government Solutions
How to Choose the Best AI Proposal Software for Government Contractors
If you are a small or mid-sized contractor building a capture engine, choose CLEATUS. You get plan-first proposal writing, structured bid packages, and a visual automation layer in one platform. Entry-level data plans are self-serve, and the full DATA + AI + Automations plan is scoped through a sales demo.
If you are an established prime whose reviews live in Microsoft Word and SharePoint, evaluate GovDash alongside CLEATUS. Its Word-native collaboration is genuinely differentiated for that environment.
If your contracts involve CUI in GCC High or air-gapped environments, put Procurement Sciences on the shortlist for its compliance posture, and weigh it against enterprise-tier CLEATUS with your compliance team. If the requirement runs higher still, to FedRAMP High or an IL5 or IL6 deployment, AutogenAI Federal is the specialist to price against them.
If you want a unified capture and proposal suite with Microsoft 365 support, evaluate Sweetspot alongside CLEATUS and GovDash. If discovery and opportunity organization remain the center of the job, include SamSearch.
Whatever you evaluate, demo against a real solicitation, one of yours, with amendments and attachments, not the vendor's curated example. Ask to see the planning files, the compliance matrix, the bid package file structure, and a past performance citation traced to a real award. The nine-question checklist in our AI proposal writing guide is the full evaluation script.
Ready to see our top pick work a real solicitation? Book a Demo →
Frequently Asked Questions
Sources and Verification
Competitor capabilities and pricing were re-checked against first-party pages on August 29, 2026, for the September 2026 refresh. Product pages describe vendor-reported capabilities; buyers should verify them against a real solicitation during a demo.
- Market baseline: 2026 Deltek Clarity GovCon Study
- CLEATUS: AI Workflows, AI Proposal Suite, Contract Breakdown, Start Proposal workflow step, and pricing
- GovDash: Proposal product page, Dash Agents, proposal template documentation, onboarding and integrations documentation, and pricing
- Sweetspot: Proposal Engine, Agentic Monitors, and pricing
- Procurement Sciences: Awarded AI platform and security and compliance
- AutogenAI: AutogenAI Federal and product overview
- Rohirrim: UnifiedRespond
- Civio: Civio and RFX FAQ and Civio home
- SamSearch: pricing and plan features
- General-purpose AI: ChatGPT Projects, ChatGPT Work, developer mode and MCP apps in ChatGPT, and Claude Projects
Further Reading
- 10 Best AI Tools for Government Contractors (September 2026)
- 8 Best AI Capture Management Platforms for Federal Contractors (September 2026)
- 8 Best GovCon CRM & Pipeline Management Software Platforms (September 2026)
- AI for Government Proposal Writing: A Practical Guide (2026)
- Stop Prompt Engineering. Start Winning Contracts.
- CLEATUS Workflows: Automate Any GovCon Process, From Lead Gen to Award
- GovCon Workflow Templates: Automation Patterns for 2026
- 10 AI Prompts to Decode Any Government Solicitation in 30 Minutes
Customer Stories
- How D2 Government Solutions Tripled Growth Without Adding Staff
- How Operation Hired Achieved 6× Proposal Output with CLEATUS AI
- How MST Maritime Quadrupled Proposal Output with CLEATUS AI
- How a Veteran-Owned Shop Won Their First Contract with CLEATUS AI
About CLEATUS
CLEATUS is an agentic AI platform that helps government contractors discover the right opportunities, manage capture pipelines, and write winning proposals. Automate your GovCon operations end-to-end: build custom AI-powered automations that handle multi-step processes on autopilot, a force multiplier for your capture and BD team that works in the background while you stay in the loop on every decision. We aggregate federal, state, local, and city opportunities; our GovCon Copilot analyzes solicitations and your internal documents to deliver actionable market intelligence that drives revenue growth.
