Intent
First, we listen.
We record your problem, goal, or idea—and why it matters.
AI-native software delivery / governed end to end
Software Factory for Enterprises
Turn problems and intent into production-ready software that keeps self-improving.
shared contextWHYremains attached
01 intent
04 work
07 proof
TRACE
original problem linked to current change
Trusted by
LOGO01
LOGO02
LOGO03
LOGO04
LOGO05
LOGO06
LOGO07
LOGO08
One traceable system
From the first reason
to the final proof.
Scroll through the operating model. Every stage changes the artifact, but the intent remains visible.
Requirements
What success means.
Requirements are the agreed rules for what gets built.
Blueprint
The system shape is agreed.
The blueprint shows how the software’s parts will work together.
Work orders
The plan becomes executable.
Work Orders turn the blueprint into small set of small, clearly defined tasks.
Implementation
Agents work inside the lines.
Agents complete each task using only the approved Models, tools, budgets, and repositories.
Verification
Tested before trusted.
The exact change must pass every required check before it can move forward.
Feedback
The outcome becomes the next input.
Results, user feedback, and new evidence return to the product record and shape what the factory improves next.
Active artifact
intent.v1
Business goal approved
approved byyour team
defineswhy we build
connectsgoal → work → proof
statuscurrent
01 / 07Scroll to move the system forward
One platform · every surface
The factory meets the team where the work happens.
Desktop, browser, mobile, terminal, collaboration tools, planning systems, and pipelines all connect to the same governed product trace.
DESKTOP SURFACE
A focused workspace
Review intent, artifacts, active runs, exceptions, and evidence in one operational surface.
ACTIVE CONTEXTCheckout reliability / active work
7 artifacts · 1 decision required
Defining your Software Factory
Model Independence
CODINGREASONINGSPEEDCOSTCONTEXTTOOLS
MODEL AMODEL BMODEL 3BEST OF ALL
Sovereign Deployment
- SaaSFully managed, zero ops✓
- HybridCloud control plane, your compute✓
- On-PremEntirely in your data center✓
- Air-GappedNo external network access✓
Across the SDLC
SHAREDCONTEXT
SIGNALTRIAGEPLANEXECUTEVALIDATESHIPMONITORAUTOMATEAnalytics
AI providers charge by the token. We make every token earn its place.
Lower AI spend is the byProduct of choosing the right model for each task. See usage by model, team, and user. Use efficient models for everyday work and save the most powerful models for harder tasks.
Analytics
AI providers charge by the token. We make every token earn its place.
Lower AI spend is the byProduct of choosing the right model for each task. See usage by model, team, and user. Use efficient models for everyday work and save the most powerful models for harder tasks.
AI USAGE
EXPORT ↗Token usage
Estimated consumption over time, grouped by model, team, or user.
400K300K200K100K
efficient balanced reasoning specialist other
Analytics
AI effectiveness across your organization.
See which teams and engineers turn AI-assisted work into verified software, where changes pass the first time, and where rework slows delivery. Turn the working patterns of your most effective teams into a playbook for everyone else.
ORGANIZATION
EXPORT ↗Team effectiveness
Verified delivery by engineer and team.
ENGINEERFIRST-PASS RATEVERIFIED
Engineer 01
92%
46Engineer 02
86%
41Engineer 03
78%
37Engineer 04
72%
32Engineer 05
66%
29What defines the system
Not another coding agent.
Intent is infrastructure
The reason behind a change stays versioned, cited, and reviewable throughout delivery.
No AI Slop
Agents work through explicit roles, tools, budgets, permissions, and human approvals.
Evidence earns completion
A confident answer is not a pass. Exact checks and independent review close the loop.
Build with the reason intact