| Core positioning | AI-first GovCon platform — agentic capture, proposal writing, and workflow automation in one product, self-serve with published pricing | AI capture-to-contract platform for GovCon — capture, pricing, proposal, and contract modules, sold demo-first with custom quotes[1] |
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| AI contract breakdown (pre-shredding) | Every matched opportunity arrives pre-shredded, before anyone opens it: CLEATUS reads every page of the package (base solicitation, amendments, attachments, exhibits) and breaks it into one standardized Contract Breakdown following the Uniform Contract Format: scope, requirements, deliverables, deadlines, pricing, and evaluation criteria. That breakdown is what your PWIN score is computed against, so the score reads Sections C, H, K, L, and M plus the attachments instead of a title, a NAICS code, and a set-aside. When a package has not been read, the card says so and the confidence drops rather than the model filling the gap. One format across federal, state, and local also means search works at the requirement and scope-of-work level, and agent answers stay grounded in structured data | Discover scores fit before you open anything, but on the profile and past-performance inputs its own page names: NAICS, set-asides, agencies, and company size. The package itself gets parsed later, in Proposal, when your team works the pursuit: Sections L, M, and C plus attachments and amendments, to the sentence level, which is real depth applied at the point you have already committed. An automatic breakdown of every inbound opportunity, computed before the score, is not advertised[2] |
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| Parallel research subagents | Ask for real research and the agent hands the job to subagents: separate AI researchers, each with its own context and its own 21-tool research catalog covering contracts, solicitation documents, award history, agencies, contracting officers, and the web. Up to three run at the same time on independent tasks. Each one is a live line in the chat you can open to read the exact task it was given and every search it makes, and you can stop it mid-run. Their tool traffic never enters your conversation, so three investigations come back folded into one answer instead of a wall of raw results. Included from DATA + AI | Dash Agents are autonomous agents that draft, review, and route work across GovDash workflows, with Agentic Proposal Content Generation on the public roadmap. Nothing describes handing one research question to several agents at once, watching every search an agent makes, or stopping a run in progress[3] |
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| Agent orchestration | The agent is a step; the workflow is the conductor. This is Zapier or n8n rebuilt for GovCon: a canvas with 13 trigger events, 19 addable step types, and 16 distinct actions. Every AI Agent step picks its own model and reasoning effort, gets its own scoped list of tools it may call, and returns a structured output schema, so the If/Else and Filter steps after it branch on typed fields instead of on prose. Steps run in parallel, one agent step can fan out across a whole set of items at once, and a dedicated Start Proposal step launches the full proposal writer and waits for the finished bid package before later steps read it. Nine ship as named agents you can run today (Go/No-Go, Qualification, Amendment Watch, Award Monitor, Recompete, and more), or describe the automation in plain English and it assembles itself. Unlimited on DATA + AI + Automations | Configuration, not composition. You pick a pre-built agent (proposal compliance, contract monitoring, opportunity research) or build one, choose when it runs, and it writes its output back to a record. Its own FAQ calls that "an AI-powered workflow," but the unit is one prompt on one trigger producing one artifact. There is no canvas to open, no second step to add, nothing that branches on what the first step returned, and no steps running side by side[4] |
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| Native file authoring | The agent writes the real file, it does not export one at the end. Submission volumes are authored as actual .docx through the same render path as the Export as Word button. Decks are real .pptx built with python-pptx, pricing and line-item workbooks are real .xlsx or .csv, and a Government-supplied workbook is filled in place with a value-only patcher so the template structure survives. A supplied Word document is filled in place too, keeping its layout, headers, and handling markings rather than being rebuilt. Flat and fillable government PDF forms get every field filled. PDF is the one format the agent does not author: any document, or the whole bid package, exports to PDF or Word on demand | Ships "Custom PowerPoints, Excel Sheets & Code Sandbox" and "Dash in PPT and Excel" at the Dash platform level, so deck and workbook generation is real. Inside the Proposal module it is a different story: its own roadmap puts "Agentic Proposal Content Generation" under Upcoming, next to Template Builder and Advanced Document Editor, while Shipped there is Outline Templates, a Table Section Type, an In-Editor Citation Widget, and compliance-matrix export enhancements[5] |
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| Getting started | 7-day free trial — sign up at /get-started and start running real workflows the same hour | Opportunity search is free and public at discover.govdash.com with no account. The platform itself is demo-first: every path in is "Book a demo" or "Talk to sales," with no self-serve signup or free trial advertised[6] |
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| Pricing transparency | Published self-serve pricing: $78/mo DATA + AI (annual billing); DATA + AI + Automations is sales-led. See /pricing | Packaging published, prices not. Subscribe per Module, top up with workspace credits that never expire, and get Agents at 25% off inside a subscription. No dollar figure appears anywhere; the next step is a "Talk to sales" form[1] |
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| AI proposal writing | AI Proposal Writer opens every bid with a Proposal Plan built from your solicitation, checks steps off as the work lands, reconciles the plan when an amendment posts, and drafts multi-volume proposals with compliance matrices grounded in the full solicitation and your award history — exported as Word and PDF, included on DATA + AI + Automations | GovDash Proposal "analyzes the entire solicitation package" and builds a compliance matrix that updates with amendments, parsing Sections L, M, and C to the sentence level and tracing every entry to its source document. It generates outlines from the RFP structure and drafts inside Microsoft Word with cited content[7] |
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| End-to-end GovCon operations automation | Automates your GovCon operations end-to-end — multi-step AI automations run capture screening, go/no-go prep, amendment monitoring, award-lead delivery, and team routing on autopilot. Force multiplier for capture and BD teams. Unlimited on DATA + AI + Automations. | Dash Agents are a real runtime, and its FAQ names the unit: "A Dash agent is an AI-powered workflow that performs multi-step work inside GovDash." Start from a pre-built template or build one, run it daily, weekly, monthly, on demand, or on a workflow event, and the output is logged back to the record. One agent per trigger, not steps composed on a canvas[4] |
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| Claude and ChatGPT integration | One-click apps published in both official directories, the Claude.ai connector directory and the ChatGPT app store, connectable at /agents/claude and /agents/chatgpt, turn CLEATUS into a tool inside Claude.ai and ChatGPT | MCP runs the other direction: Dash, GovDash's agent, uses MCP connectors to read SharePoint files, draft emails, and pull Teams conversations. No connector for using GovDash from inside Claude or ChatGPT is advertised[8] |
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| Agentic AI document generation | AI Agent generates executive summaries, capability statements, past-performance narratives, pricing tables, and compliance matrices — exported as Word, PDF, Excel, or PowerPoint and stored in your Document Hub | Dash reaches into Word, Excel, and PowerPoint, and the platform roadmap ships custom PowerPoints, Excel sheets, and a code sandbox. Inside the Proposal module the output is outlines, mapped requirements, and cited content drafted in Word, with export to Word or SharePoint[7] |
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| Opportunity coverage | Federal (SAM.gov), 50,000+ SLED sources, DLA DIBBS, GSA eBuy (OASIS+ and MAS RFQs), SeaPort NxG, PIEE directed solicitations, Grants.gov | "Every live opportunity across SAM.gov, PIEE, SLED, and eBuy," plus GovWin as a connected source, with SLED portal coverage in all 50 states. Grants.gov, DLA DIBBS, and SeaPort NxG are not named on the Discover or integrations pages[9] |
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| Forecasts and pre-RFP signal | Signals surface work before it posts: subcontract scopes inside primes, agency procurement forecasts, and AI-predicted recompetes scored for likelihood 12 to 18 months out, delivered as daily recommendations | Also a real forecasting product, and closer than it used to be. Discover advertises recompetes and planned acquisitions 6 to 18 months out, predicted from public award data, plus planned buys never posted to SAM.gov, syncing from 14+ sources. Opportunity Forecasting is Shipped on its own roadmap. Incumbent Tracking and a PWIN Calculator are both still listed as Upcoming[10] |
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| Capture / CRM | Kanban, list, and calendar pipelines with live solicitation amendments, team collaboration, AI workflows, and unlimited pursuits on DATA + AI + Automations | "The most powerful CRM for GovCon": Kanban, Gantt, and table pipelines, custom fields, phases and roles, structured gate reviews with assigned reviewers and auto-generated gate-review decks, capability-to-requirement mapping, and leadership dashboards. It also syncs to Salesforce stages if you are not ready to switch[11] |
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| Microsoft Word + SharePoint | Word and PDF export for AI-drafted proposals; document storage in the AI Document Hub. No native Word plug-in or SharePoint sync | Proposals are developed inside Microsoft Word with GovDash content and citations in the document, and Dash also reaches Excel and PowerPoint. SharePoint does automatic document uploads, real-time sync with enterprise permissions, and pulls contracts and modifications[12] |
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| Post-award / contract management | CLEATUS focuses on the pre-award lifecycle — opportunity discovery, capture, and proposal writing. CPARS and post-award tracking are not currently in product | GovDash Contract is a dedicated post-award workspace: your full award history with documents attached, bulk import by CSV, USAspending pull by UEI, or SharePoint sync, plus modification tracking that extracts funding, date, and task changes for one-click approval and feeds past performance back into bids[13] |
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| Pricing / labor categories | Labor category mapping is not a dedicated module; AI Proposal Writer can draft pricing narratives but does not run a dedicated pricer workflow | GovDash Pricer is a dedicated module providing "pricing workflows to help win contracts at the best rate," with labor hour allocation, work breakdown structure from the solicitation, basis of estimates, and cost element handling shipped[14] |
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| CRM / Salesforce integration | CLEATUS is a stand-alone pursuit CRM; no native Salesforce sync. Zapier and webhooks available on DATA + AI + Automations for custom data flows | Native Salesforce integration — contact and opportunity sync, automated pipeline updates, custom field mapping — plus Okta SSO and webhooks[8] |
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| FedRAMP and deployment | FedRAMP Moderate Equivalency expected Q3 2026, audit pending. Single multi-tenant SaaS deployment | FedRAMP Moderate Equivalency and FedRAMP Ready. Its govdash.us environment was 3PAO-assessed against all 323 FedRAMP Moderate controls with zero findings, and it is listed on the FedRAMP Marketplace, validated for CUI and CDI under DFARS 252.204-7012 and CMMC Level 2. Three deployment models: managed cloud, dedicated Azure Government, or your own environment[15] |
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| Entry-level annual price | $78/mo billed annually ($936/year) on the DATA + AI plan — opportunity discovery, GovCon AI chat, market intelligence | Not published[1] |
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| Full AI stack | DATA + AI + Automations (sales-led) adds AI Proposal Writer, AI Workflows, native GSA eBuy, SeaPort NxG, API access, and unlimited pursuits. Contact us | Not published[1] |
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