Rapid · Enterprise-grade · Autonomous

Production Agentic AI in Days,
Autonomously Built and Verified

The speed of an AI app builder, the compliance of enterprise software, the autonomy of an AI-native team — in one platform. Agents take a PRD to production in days, and the agent that writes the code never approves it. Every change is verified by a quorum of rival-vendor models, bound to its commit, with an audit-ready proof trail — real FastAPI + Next.js + Helm you own and run anywhere. Sage scaffolds it, Cerebe powers it, Dark Factory ships it.

PRD → Prod In days, fully autonomous
5 vendors Rival-model verification
Per-commit Evidence-bound & audit-ready
100% Production code you own

One platform, three promises

The speed of an app builder.
The compliance of enterprise. Fully autonomous.

01

The speed of an AI app builder

PRD to a running product in days, not quarters — the magic-fast build loop of consumer AI tools, aimed at real production software instead of throwaway demos.

02

The compliance of enterprise software

Every change is reviewed, evidence-bound, and audit-ready — the governance trail a regulated enterprise requires, not a prototype tool's black box. Real FastAPI + Next.js + Helm with auth and observability, and you own every line.

03

The autonomy of an AI-native company

Agents take the work from spec to production and verify each other along the way — 100% autonomous build and verification. The operating model of a frontier AI-native team, as a platform your team directs.


The shift

AI writes the code now.
Trusting it in production is the bottleneck.

Generation is solved — agents ship code faster than any team can review it by hand. What's missing is the proof that what shipped is correct, secure, and does what it was asked. That gap is where autonomous projects stall.

~75% of new code at Google is AI-generated — up from ~25% in 20241
45% of AI-generated code ships with a known security flaw2
>40% of agentic-AI projects will be scrapped by 2027 on inadequate controls3

Everyone is racing to generate more code. Almost no one is proving it's safe to ship. Momentiq closes the loop — autonomous generation and autonomous verification, at enterprise grade, with the evidence to back every merge. 1 Google, 2026  ·  2 Veracode 2025  ·  3 Gartner


Three pillars, one loop

Autonomous SDLC. Agentic scaffold.
Cognitive backend.

Dark Factory reviews and ships your code with deterministic gates and adversarial multi-vendor verification — the separation of duties that makes autonomy safe. Sage scaffolds a production-grade agentic app on top. Cerebe provides the persistent memory + LLM routing + meta-learning that make agents actually useful.

The SDLC

Dark Factory

The autonomous AI-native software development lifecycle. Agents author, critique, validate, and ship behind deterministic safety gates — from PRD to production.

  • Adversarial review by a quorum of rival vendors — Cursor, Codex, Gemini, Grok, MiniMax
  • Per-commit evidence binding — every verdict is bound to the exact diff it judged
  • Verifiable objectives — every change carries a proof trail of what it was asked to do
  • Cycle-doc traceability — every commit ties to an approved plan
  • CLI, GitHub App, dashboard, and MCP server — one gate, every surface
  • Audited bypass trail — every override is a logged, attributable event
Explore Dark Factory →

The Scaffold

Sage

The agentic application framework. Generates a complete FastAPI + Next.js + Helm project wired to Cerebe — production-grade from the first commit.

  • FastAPI + LangGraph backend with ReAct loops + specialist delegation
  • Next.js 14 frontend with conversation history and contextual AI
  • Helm charts, ArgoCD GitOps, k3d local + GKE/EKS/AKS production
  • Clerk SSO/SAML auth + OpenTelemetry observability built-in
  • Database patterns: PostgreSQL + Alembic + async sessions
  • Opinionated where it matters; ejectable everywhere it doesn't
Explore Sage →

The Engine

Cerebe

The cognitive services platform. Persistent memory, LLM routing, prompt management, multi-agent coordination, and meta-learning — through one API.

  • Hybrid memory fabric: working, episodic, long-term (Qdrant + Neo4j)
  • Capability-based LLM routing — switch models without code changes
  • Versioned prompts with A/B evaluation (LangSmith integration)
  • PLRE meta-learning loop: Plan → Learn → Reflect → Evolve
  • Multi-agent deliberation with shared scratchpad
  • Cloud, VPC, or fully on-prem — your data, your residency
Explore Cerebe →


Why Momentiq

The best of every approach,
none of the trade-offs.

vs. AI Code Reviewers

The reviewer isn't the author

CodeRabbit and Greptile run a single model; coding agents review their own output — author and reviewer are the same party. Dark Factory is a separate layer: every change faces a quorum of rival-vendor models, and the verdict is bound to the exact commit. Separation of duties, by design.

vs. No-Code & Prototype Builders

Enterprise-grade, not throwaway

Lovable and Replit generate prototypes locked inside their runtime. Momentiq generates standard FastAPI + Next.js + Helm — auth, observability, CI, and infrastructure included. You own every line, run it in production, and deploy it anywhere. Not a demo you rebuild later.

vs. AI Frameworks

Production from day one

LangChain, CrewAI, and AutoGen give you building blocks. Sage gives you a deployable product on commit one: auth, observability, conversation history, a polished UI, and infrastructure — already built and wired to Cerebe.

vs. Enterprise Platforms

Your cloud, your models, your data

Salesforce Agentforce and Microsoft Copilot Studio lock you into their ecosystems. Momentiq is cloud-agnostic and on-prem deployable — keep your models, your data residency, and your engineering velocity.


Get Started

Rapid. Autonomous. Enterprise-grade.

Scaffold with Sage, power it with Cerebe, and gate every change through Dark Factory — production agentic AI your team ships in days, owns outright, and can prove line by line.