Copilot · Cursor · Codeium
Single-turn code completion. Brilliant for keystrokes, blind to architecture, security posture, requirements coverage, and audit trail. The bottleneck simply moves to review and validation.
Enterprise · Governed · Evidence-producing
CoBoltEnterprise software, built and shipped by AI you can trust.
AI runs your whole software pipeline — from planning to deployment — with compliance and human oversight built in.
CoBolt plans, builds, reviews, validates, and ships enterprise software end-to-end — with the deterministic governance and audit evidence your CIO, your auditors, and your engineering organization can all sign off on.
CoBolt IDE·CoBolt Studio·CoBolt EngineOne platform · Two surfaces · One engine underneath
Production platform·SaaS · Self-hosted · Air-gapped·Counted from disk, not marketing
The bottleneck has movedAI now writes code at machine speed.
AI now writes code at machine speed.
Your enterprise still ships at human speed.
Copilots, Cursor, Devin, and friends accelerated the keystroke. They did nothing for the 40–60% of engineering capacity consumed by requirements drift, review backlog, test gaps, security findings, compliance evidence, and modernization debt — the work that actually decides whether software ships.
71%
CIOs blocked by
"AI code without governance" — cited as the #1 enterprise rollout blocker.
Gartner CIO Survey · Q4 2025
3.8h
Lost per developer · per day
Context-switch, review wait, rework, status reporting.
DORA 2025
$47M
Avg modernization spend
Per Global-2000 per year on legacy COBOL/Java. 18–36 month cycles.
Deloitte 2025
40–60%
Non-coding toil
Of engineering capacity is consumed before a single line ships to production.
McKinsey 2024
A control problem, not a generation problem.
Today's stackTier 1 · IDE Assistants Tier 2 · Autonomous Agents Tier 3 · DevOps Platforms
Three tiers of AI tooling — none of them ship enterprise software end-to-end.
Devin · Factory · Replit Agent
Task-to-PR autonomy with a handful of generic agents. Ungoverned by design — cannot produce the deterministic enforcement and evidence regulated enterprises require. Brownfield blind spot.
GitLab Duo · Harness · Rovo
Strong on CI/CD and policy. Weak or absent on requirements engineering, multi-agent build orchestration, and the reverse-engineering work that legacy modernization actually needs.
Tier 4 · The governed control plane
CoBolt's categoryPlans the work. Decomposes it. Builds it through 210 specialist agents. Reviews it through 23 dedicated reviewers. Validates it against the original requirements. Produces audit evidence. Engineers operate it through CoBolt IDE; governance lives in CoBolt Studio. Not a replacement for Tier 1–3 — the orchestration layer that makes them safe to scale.
CoBolt orchestrates Tier 1–3. We do not ask you to replace your IDE.
What it isOne platform. Two surfaces.
One platform. Two surfaces.
One engine underneath.
CoBolt is an autonomous delivery platform that runs the full software lifecycle as a governed, evidence-producing pipeline. Engineers operate it through CoBolt IDE. Organizations govern it through CoBolt Studio. Both surfaces share the same engine, produce the same artifacts, and enforce the same policies.
Desktop application
CoBolt IDE
Where engineers work
The desktop application your engineers open in the morning. Engine runs underneath as an encrypted local sidecar; nothing leaves the machine unless you say so.
Tauri 2 · Rust · React 19
Learn moreWeb control plane
CoBolt Studio
Where the org governs
Role-based SDLC stages with deterministic gates between them. Built for CIOs, CISOs, and GRC. Multi-tenant; enterprise-only.
Multi-tenant · RBAC (role-based access control) · audit log
Learn morePipeline runtime
CoBolt Engine
Where the work happens
The moat under both surfaces. 210 specialist agents, deterministic hooks (rules enforced before the AI runs), fail-closed gates between every lifecycle stage. Not a separately sold product — it is the platform.
210 agents · deterministic hooks · hard gates
Same engine, same artifacts. An action initiated in the IDE produces evidence Studio can audit. A gate configured in Studio binds the IDE's next pipeline run. The two surfaces are operationally identical from the engine's point of view — only the persona changes.
Every codebase, every vintage
Whether the codebase is one day old — or twenty years old.
CoBolt handles two kinds of starting points with the same platform, same agents, and same evidence pipeline. Only the entry point differs.
Greenfield
From an idea.
Requirements → architecture → design → build → review → validate → ship
Idea-to-production in one pipeline. Most AI coding tools accelerate this — CoBolt's edge is the governance layer wrapped around it.
Brownfield
From legacy code.
Reverse-engineer → business-rule extraction → re-engineerable spec → parity tests → forward build
Reads what exists. Writes what should exist. Proves the two match before cutover. Almost no AI tool ships this end-to-end — 80% of enterprise engineering spend lives here.
One platform · Same agents · Same evidence · Two entry points into the lifecycle.
Deployment
Meet your security posture without compromising capability.
SaaS
Hosted control plane, BYO model keys, evidence in your bucket. Fastest path to value.
Self-hosted
Your cloud or your datacenter. Full source available. Identical platform, identical evidence pipeline.
Air-gapped
No internet. Local model providers (LM Studio, Ollama). For regulated and classified environments where data cannot leave the boundary.
Engine protection
In every deployment mode, the engine ships as an encrypted local sidecar. Your machines run it; the engine source never leaves them.
Model neutrality
13 AI provider profiles supported, including local options for air-gapped customers. Bring your own keys; we never see them.
Same platform · Same agents · Same evidence · Three trust boundaries.
Outcomes
Faster cycles. Higher confidence. A shorter path to audit.
3–5×
Faster cycle time
End-to-end delivery; varies by codebase complexity.
In our pilot deployments
~70%
Less review burden
Counts only findings that required engineer action; the rest are resolved inside the pipeline before review.
With our design partners
Days
Audit pack assembly
Customers who used to run 6–8 week pre-audit sprints now produce the pack on demand.
Pilot reports
Reference calls on request.
Honest disclosures
Where we are today, in plain language.
CoBolt IDE
Shipping today
Real desktop application. End-to-end verified against rust-analyzer. Demoable in five minutes.
CoBolt Studio
Frontend complete · backend integrating
Multi-tenant web control plane. Frontend prototype demoable today; full backend integration in flight.
Meru Gateway
On the roadmap
A self-hostable control plane for all your enterprise AI traffic — one endpoint across LLM providers, MCP tool calls, and CLI/agent sessions, with cost controls, policy enforcement, and audit-ready compliance evidence. Architecture laid out; production code in year 2 after CoBolt has enterprise traction.
Trust is built on what we tell you before you ask.
Timing01 / FORCE 02 / FORCE 03 / FORCE
The window for governed autonomy is open right now.
Model inflection
Frontier-class agentic models shipped in late 2025. The capability floor moved; the governance gap widened.
Regulation
EU AI Act Article 14 enforcement: August 2, 2026. Penalties up to €35M or 7% of global revenue. CIOs cannot wait.
Modernization mandate
$38B/year in spend. US federal COBOL phase-out 2029. India RBI core-banking mandates. Non-discretionary buying.
Standing still is the most expensive option in 2026.
Get in touch
Let's talk about the work you're trying to ship.
Pilots, partnerships, or a general conversation about governed AI delivery in your organization. We respond within two business days.
The next conversation is the one that matters.