Capture, proposal, and post-award documentation consume more engineering hours than the engineering itself. Thabit collapses all three.
Programs pursue wrong opportunities because 3-Thing qualification, Pwin analysis, and gate-level decisioning live in slide decks and spreadsheets. Wrong call costs BD budget; right call gets made late.
Section L/M parse, planning sheets, color reviews, win-theme discipline, the proposal is won or lost on compliance-matrix mechanics. SMB contractors can't afford Shipley consultants and lose on adjectival rating before they compete on price.
A firmware update becomes a six-week impact trace. A mechanical tweak re-qualifies subsystems that didn't change. Engineers conservatively re-test everything because it's faster than proving what didn't move. Meanwhile your iteration velocity matches your slowest compliance cycle instead of your actual engineering cadence.
Every stage of the capture-to-delivery lifecycle runs on the same platform with the same architecture: deterministic structure, AI-refined narrative, doctrine-grounded fallbacks.
Parses a proposed engineering change, traces impact through the requirements baseline, test-procedure set, and affected documentation, then tells you precisely what needs re-verification and what can be safely skipped. Iterate internally without re-qualifying subsystems you didn't touch, while the design stays continuously validated against requirements. Generates compliance-ready delta packages (MIL-STD-973, ISO 10007, AS9100, or your internal CM standard) when you need them for a change review board, customer approval, or regulatory submittal.
Most AI tools ship demos. Thabit ships infrastructure for regulated programs. The three invariants below are why it survives deployment.
Every compliance matrix, RTM delta, color schedule, and readiness gauge is built by a deterministic function before the AI layer runs. If the AI call fails, the structural output is already complete. The AI layer refines narrative; it never invents structure.
Every AI-assisted field carries a hardcoded fallback written against the relevant doctrine, BAP, Shipley, MIL-STD-973, MIL-STD-810H, ISO 13485, DO-160, AS9100, FAR 15.3. Network outage, API drift, model deprecation: packages still render complete. The program never stalls waiting for an LLM.
One HTML file. No external CSS or JS. No build pipeline at runtime. Deployable to AWS GovCloud as a static asset, deliverable on a DVD to air-gapped programs, auditable line-by-line. Your security team reviews the whole thing in one sitting.
Every module ships with a hand-written doctrine corpus. The principles, definitions, frameworks, and controlling standards that drive both deterministic structure and AI-fallback reasoning. Every assertion is sourced. Every invariant is testable. Read it end-to-end and you can audit the tool the same way you’d review a senior engineer’s work.
The structure every engineering change has to clear: requirements delta, test-procedure impact, affected documentation, approval routing. All of it encoded as executable rules. Grounded in MIL-STD-973 for defense, ISO 10007 for commercial and industrial, AS9100 change control for aerospace, and FDA 21 CFR 820.30 design controls for medical devices. Same rigor across every sector.
Knows which environmental method applies to which deployment environment, and at what severity. Encodes all 29 MIL-STD-810H environmental methods, all 10 MIL-STD-461G EMI/EMC methods, DO-160G for commercial airborne, IEC 60601 for medical electrical, the MIL-STD-882E hazard matrix, and the MIL-HDBK-217F reliability calculus from first principles.
The discipline a senior capture manager applies to a billion-dollar pursuit, encoded for teams that don't have one on staff. The 7-phase Business Acquisition Process. 3-Thing qualification. Probability-of-win estimation with structured factor weighting. The 4-variable Business Deal framework. Gate decisions with documented rationale (including dissent) so post-award reviews are genuinely useful.
Shipley discipline, end-to-end. Section L decomposed into compliance requirements, Section M into weighted evaluation factors. Win themes mapped to factors. Color reviews (Pink, Red, Gold, White, Green) with role-based responsibilities. Past performance allocated to requirements. Ghosting done structurally, not as an afterthought.
Two decades of capture and acquisition discipline (3-Thing qualification, probability-of-win estimation, 5-role capture team, 4-variable Business Deal) encoded into the tool, not rented as a consultant's slide deck.
Every module indexes your baseline, your Section L/M, your requirements, your SOW. Outputs are generated against your specific program, not a placeholder template that needs hours of find-and-replace.
Every AI-assisted output is validated by a deterministic layer before it renders. Compliance matrices, RTM deltas, color schedules, readiness gauges, all built by code you can read, not narrative you have to trust.
When an ECP lands, ChangeTrace identifies minimum impact scope. When an RFP amendment lands, ProposalGuard re-parses Section L/M. The baseline doesn't get rebuilt; the delta gets resolved.
DOORS is $15K/seat. Shipley engagements start at $100K. Thabit starts at $599/month with zero setup. A solo systems engineer can run a capture-to-delivery cycle without a tool-chain investment.
Every AI call has a Promise.race timeout. Every AI key has a doctrine-grounded fallback. Network outage, API drift, model deprecation, the package still renders complete. Your program doesn't wait on an LLM.
No per-module unlocks. No per-document fees. No 12-month contracts. Cancel anytime.
Thabit Cloud processes non-CUI data under standard commercial cloud controls. AWS GovCloud deployment available for CUI-handling programs. On-premise deployment available for classified-adjacent programs. The single-file architecture means your security team can audit the whole surface in one sitting.
Join the private beta. First customers receive 60 days free and direct access to the founding team for onboarding, feedback, and feature direction.