CoBolt
Ship enterprise software autonomously — with evidence at every gate.
Plan, build, review, and ship enterprise software through deterministic, fail-closed gates, with audit evidence produced as the work happens — for greenfield delivery and legacy modernization alike.
The problem it solves
AI now writes code at machine speed, but enterprises still ship at human speed — held back by requirements drift, review backlog, test gaps, security findings, compliance evidence, and modernization debt. The blocker is no longer capability; it is governance. Autonomy without control fails security review; control without autonomy never delivers.
What CoBolt is
CoBolt is a governed autonomous software delivery lifecycle. It orchestrates specialist AI agents through deterministic, policy-enforced gates — plan, build, review, fix, validate, and deploy — emitting compliance evidence as the work happens, so every change is traceable from requirement to production.
The solution
Governance enforced as physics, not policy.
CoBolt does not ask agents to behave — it makes misbehavior structurally impossible. Deterministic hooks fire before, during, and after every action: the model proposes, the system decides. Specialist agents run the full lifecycle inside fail-closed gates, verification is by census rather than sampling, and every stage emits audit-grade evidence. The result is the rare combination of high autonomy and high governance in one platform.
Key capabilities
Deterministic gates
Each stage advances only when explicit, machine-checked criteria pass. Policy is enforced by the system, not promised in a runbook — when proof is missing, the pipeline halts rather than continuing.
Evidence as you go
Plans, diffs, reviews, traceability, and test results are captured as an immutable audit trail while the work runs. Audits become a read, not a six-week reconstruction.
Specialist agent pipeline
A deep roster of role-specific agents — analyst, architect, security reviewer, and more — runs each lifecycle stage, with parallel reviewers fanning out across security, quality, performance, and contracts.
Exploit-verified fixes
Critical and high-severity security fixes are re-attacked at runtime. If the exploit still succeeds, the fix is rejected — "the test passes" is not accepted as done.
Legacy modernization
CoBolt reverse-engineers entrenched systems, mines business rules with confidence scoring, and generates parity tests that prove the modernized system matches legacy behavior before cutover.
Runs in your boundary
Deploy as SaaS, self-hosted, or fully air-gapped, with bring-your-own model keys the vendor never sees. Source and secrets never have to leave your environment.
Enterprise trust
Security, governance, and auditability — by construction.
Fail-closed by default
Missing proof, a skipped check, or an unknown state halts the pipeline — it never warns and continues. Gates between every stage are enforced deterministically.
Census, not sampling
Every endpoint and every role is probed for cross-tenant access; every requirement is traced to every test. Verification is exhaustive, never an extrapolation from a sample.
Framework-mapped evidence
Traceability matrices, authorization census reports, and exploit-verified fixes map to SOC 2, ISO 27001, HIPAA, OWASP ASVS, PCI-DSS, and EU AI Act control families — assembled on demand.
Model-neutral, keys stay yours
Route across cloud frontier or local providers with bring-your-own keys. The platform never sees your credentials, and air-gapped deployments run entirely on local models.
How CoBolt works
- 01
Plan
Requirements are decomposed into a reviewable plan with explicit acceptance gates.
- 02
Build
Specialist agents implement against the plan inside policy guardrails, producing diffs and tests.
- 03
Review & fix
Parallel reviewers and deterministic checks gate every merge; security fixes are exploit-verified.
- 04
Release
Promotion emits a complete evidence bundle — traceable from requirement to production.
Where it’s used
Regulated greenfield delivery
Build new systems in banking, healthcare, or the public sector where every change must clear security review and leave an audit trail.
Legacy modernization
Reverse-engineer undocumented COBOL, Java, or .NET systems into re-engineerable specs with parity tests that prove behavioral equivalence before cutover.
Audit & compliance on demand
Teams that ran multi-week pre-audit sprints assemble an evidence pack in days, because the evidence already exists before the auditor asks.
Air-gapped & classified work
Deliver inside environments where data cannot leave the boundary, using local model providers and a fully self-contained pipeline.
In the Erup portfolio
How CoBolt fits into Erup AI
CoBolt is the delivery engine of the Erup portfolio — the governed path from requirement to production. It shares Erup’s commitment to deterministic gates and evidence with Canvas and Mira, and picks up where Canvas hands off: the governed app and its PRD, TRD, and Engineering Plan flow into a fully audited build-and-release lifecycle.
At a glance
- Deployment
- SaaS · Self-hosted · Air-gapped
- Governance
- Deterministic, fail-closed gates
- Evidence
- Immutable per-stage audit trail
- Starting points
- Greenfield & brownfield modernization
- Best for
- Regulated enterprise delivery
See CoBolt in your environment.
Start with a scoped pilot on a real workflow — governance and evidence enabled from day one. Talk to the team that builds the product.
- SaaS, self-hosted, or air-gapped
- Evidence & audit trail included
- Built for regulated operations