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Letco logo
The Letco platform for orchestrating AI software development, shown on a laptop

Ship verified software with AI agents — without losing control.

Letco turns approved requirements into tested, documented code using Claude, Gemini, Codex and Grok. Your team defines the specification; Letco executes, verifies and repairs the result.

Runs locally or in isolated cloud environments · Human approval gates · Multi-model · Encrypted project data

Limited Availability

Join the free pilot

We onboard a small cohort of teams at a time. Full platform access, free — with hands-on setup and a real engineer helping you ship.

Full access, free

The complete 4-stage pipeline — Analyze → Implement → Execute → Verify — with automated QA and multi-model support (Claude, Gemini, Codex, Grok). No credit card.

Hands-on onboarding

A dedicated engineer helps you set up your first project and reach a shipped result — not just a signup.

Limited spots

We take a small cohort at a time so every pilot team gets real attention. Reserve your spot before it fills.

Apply for the free pilot
Inside the platform

A look at how Letco works

Every step of the software lifecycle in one place — from analysis to a verified, production-ready result.

letco.ai
Letco — Dashboard
DashboardOne place to watch every session, device and plan.
The Problem

AI can write code. It can’t ship production software.

Teams get a productivity boost, then spend just as long reviewing, fixing and re-doing what the AI produced.

01

Code ≠ Working Software

AI generates code in seconds — but making it correct, complete and production-ready is still manual work.

02

No Quality Gates

There is no independent check that the output actually meets the requirements before it ships.

03

Context Loss

Requirements and decisions drift as work moves between people, tools and phases.

04

Security Gaps

Independent studies repeatedly find more security issues in AI-generated code — and typical tools add no guardrails.

05

Tool Fragmentation

Analysis, coding, testing and monitoring live in disconnected tools that never share a source of truth.

06

Poor Analysis = Poor Output

Weak requirements produce weak software — no matter how fast the AI writes the code.

Pillar 01

Humans lead. AI executes. 24/7.

The real efficiency gain isn’t speed of typing — it’s time of day.

Traditional Team
  • Humans do everything
  • 8 hours / day active
  • Analysis + coding + review
  • Idle 16h / day
  • Delivery bottlenecked by working hours
Bottlenecked output
Letco-Powered Team
  • 8h human — direction & strategy
  • 16h AI autonomous — execution
  • Zero idle time
  • Deliveries compound overnight
  • Teams leave Friday. Monday it’s built.
Compounding output

The Split

Humans = strategy. AI = execution. Always in control.

Always In Control

AI doesn’t decide what to build — only how to build what humans directed.

Compounds Overnight

Leave Friday with a feature designed. Monday it’s built, tested, documented.

Pillar 02

Use the AI tools your team already pays for.

Letco runs on subscription CLIs — Claude, Gemini, Codex and Grok — instead of pay-per-token APIs, so your AI costs stay flat and predictable.

Typical AI Tools

Pay-per-token API

Every generated token adds to your bill. The more your team uses AI, the more you pay — scale means higher bills, and no flat-cost model is possible.

VS
Letco Architecture

Subscription CLIs

Built on Claude, Gemini, Codex and Grok subscriptions. Flat cost regardless of tokens, customers bring their own, and the platforms improve themselves — Letco inherits every upgrade automatically.

01

Predictable costs

Bring your own AI subscriptions — no API pass-through tax. Letco monitors usage per session, so costs stay flat and fully transparent as you scale.

02

Always the latest models

The AI labs ship upgrades constantly, and Letco inherits every one automatically — your team is never stuck on an outdated model.

03

Your tools, orchestrated

Built on the AI coding CLIs your team already uses — Claude Code, Gemini CLI, Codex CLI, Grok CLI and Antigravity. Letco adds orchestration and verification on top; it doesn’t replace your stack.

Pillar 03

For the whole team — not just developers.

The only AI platform that covers the complete SDLC. Everyone contributes, everyone verifies.

Product OwnerWhat to build
Product ManagerPriorities
AnalystRequirements
DeveloperImplementation
TesterVerification
GovernanceOversight & control

Everyone shares one living project documentation. One truth, every perspective — under human governance.

Platform, not IDE extension

Competitors are developer tools bolted onto IDEs. Letco is built for the whole SDLC from day one — every role has a first-class seat.

Shared context

Analysis written by the PM is visible to the tester. Requirements are the source of truth for developers. No translation loss between roles.

One platform for every role

Developer-only tools stop at engineering. Letco gives product owners, analysts and testers the same first-class workspace, so the whole team ships together.

The Shift

POC is dead. MVP is the new POC.

Implementation got cheap. Analysis became the new differentiator — and AI helps with that too.

New Products

From

POC → MVP → Product · Months of throw-away prototypes

To

Analysis → Production-ready · Days from idea to working software. Validate in the real product, not toy code.

Existing Products

From

Feature by feature, sequential · Roadmap measured in quarters

To

Multiple features in parallel · Roadmap measured in weeks. Same team, multiplied output.

The bottleneck shifted — implementation used to be the constraint. Now it’s analysis quality, and AI helps with analysis too. The advantage compounds for teams that move fast.

How It Works Together

One source of truth. The loop never breaks.

A four-stage pipeline with a closed repair loop: the system finds defects, fixes them in parallel, re-checks, and iterates until the work is verified.

Analyze
Implement
Execute
Verify
↻ updated documentation feeds the next change request

Living documentation

Everyone works from one source of truth that stays current as the project evolves.

AI has full context

The pinned specification and project knowledge are injected into every step of the build.

Independently verified

An adversarial “definition of done” auditor — separate from the author — checks the result against the spec.

The loop closes

Unresolved findings spawn linked follow-ups automatically — no human triage at merge.

Anti-Drift Governance

The loop never breaks. The spec never drifts.

A repair loop makes AI output correct. Anti-drift spec governance is the durable layer on top that keeps it aligned with the original intent — so what ships is what was agreed.

The authoritative specification stays read-only, pinned and deterministically enforced across the whole orchestration — so the build never drifts from the original intent.

Read-only, pinned spec

The authoritative specification stays read-only, pinned and deterministically injected into every step — so the build can’t drift from what was agreed.

Authoritative spec artifacts

Intent, glossary, principles, use cases, architecture decision records (ADRs) and quality gates — one canonical source of truth for humans and AI.

Immutable decision history

Principle-bound, versioned ADRs record every decision, so nothing is silently overwritten and every choice stays traceable.

Bidirectional spec loop

Downstream discoveries feed structured spec-impact findings back to the spec, with a human approval gate on anything that touches core principles.

Portable across models

The governance layer travels to Claude, Gemini, Codex and Grok — only the enforcement is platform-specific, so your spec is never locked to one model.

Product Capabilities

Enterprise-grade platform. Security-first, isolation-first.

The foundation is live today — verification, security and flexible execution built in, not on a roadmap.

Autonomous QA

A multi-step pipeline: build check, runtime health, completeness scan, end-to-end tests, docs generation, severity scoring and automated repair loops.

Multi-Model AI

Claude, Gemini, Codex and Grok — through agents like Claude Code, Gemini CLI, Codex CLI, Grok CLI and Antigravity. Built on AI subscription plans, not pay-per-token APIs, so costs stay flat.

Enterprise Security

AES-256-GCM encryption at rest, layered authentication (JWT, OIDC, NATS), BIP39 recovery keys, isolated execution and security audit logging.

Isolated Execution

Cloud (Kubernetes), local Docker clusters and virtual PCs — fully isolated per session. Isolation is a security primitive, with no cross-session contamination.

Full-Team Platform

Not just for developers. POs, PMs, Analysts, Developers and Testers all work in one platform — everyone contributes, and everyone can verify.

Cost Optimization

AI subscription plans vs pay-per-token APIs, lean-core context compression, full usage tracking and per-session cost breakdown.

Letco Principles & Methods

A governance methodology for any team.

What it is
A lightweight governance framework for software projects. It works without any tooling — just structured files and discipline. Letco is the software layer on top.

Principles — the “why” and the “what never.” Testable rules that protect project identity.

Methods — the “how.” Processes for versioning meaning, managing conflicts and recovering from failures.

“The goal is not enforcement — it’s early warning. Surface emerging problems before they become serious.”

G1

User Data Privacy

Content encrypted with per-user keys derived from your password, backed by a recovery phrase only you hold. After logout, the server holds only data it cannot decrypt.

G2

Security as Architecture

Security is a condition of existence — not a feature. It can’t be overridden by business requirements.

P1

Autonomy Under Human Control

AI works autonomously — the human has the final word. Four control levels: pause, disable, stop, delete.

P2

Resilience & Recovery

Failures are inevitable — loss of work is not. Auto-recovery without user intervention.

P3

Isolation & Fairness

Strictly isolated workspaces. No tenant data ever reaches another. Fairly allocated resources.

P4

Cost Transparency

Every resource has a visible price — AI usage, sandboxes, execution time. Tracked per session.