Record
Every run is costed and linked to its work item and pull request.
Extend your team. Scale your solutions.The agents do the work.
The agents do the work.
Your engineers decide what ships.
Integrant is an agentic engineering partner. We build agentic solutions that put agents to work across your business: orchestrated, measured, and tailored to you, along with the ecosystem they operate in. We built our own AI-Native SDLC (ADLC), use it to build your solutions, and your teams can use the platform too.
- Build
- Measure
- Refine
Hosted by Integrant or deployed in your own cloud account.
The platform
Four things the platform adds
Our platform, the ADLC, is how we build your solutions, and how your teams can build too. Around every agent run it adds four things.
Memory
Instructions live in your code repository, versioned like code. Reviewed skills reach every project.
Rhythm
Runs start from events, so work goes on without anyone at a keyboard.
Measure
Completed, failed and cancelled runs, plus first-pass acceptance, run by run. What we learn refines the next run.
Not a one-time build. A dedicated Integrant team keeps testing what the market releases, and tells you which tool or skill fits which project, while your engineers stay on the day-to-day.
Build, measure, refine
Build, measure, refine. Then do it again.
Measurement is built in, not bolted on. Everything we build is measured from the first run, and what we learn goes into the next build, with a person reviewing every change.
Measure
LiveSee delivery, quality and AI cost. Spend by vendor, squad and person, and an analyst that shows its evidence.
Diagnose
Find what holds delivery back, with a likely cause and a named owner.
Act
Agents do the work and get retuned, with a person’s approval.
Prove
Under wayCheck the result against a frozen baseline for each project, tailored to you.
Then back to the build. Each pass adds evidence.
Metrics is built into the platform. Claude and Cursor can query it, with sign-in, permissions and an audit log. People stay in control of what agents are allowed to do.
On our own platform
Proof you can see. Control you keep.
Everything is measured, a named person approves every gate, and you choose how you work with us.
50+
operational metrics running today
80 planned, across delivery, quality and cost.
LiveAlways
a person merges
Merge is withheld from the agents, and a named person approves every gate.
You stay in controlThree ways to work with us
- We run itOur engineers run your projects on the platform, inside your gates.
- We onboard your engineersYour engineers run it themselves, with our best practices.
- We co-teamOur engineers and yours work the same project side by side.
What you getQuality never drops.
Quality never drops.
Speed goes up. Cost stays predictable.
Every company has its own quality bar. We hold it, or raise it. Then we help you move faster, and show you what that speed costs, so you decide how fast you really need to go.
- 1
Quality
The bar never drops. Whatever your standard, we hold it, or raise it.
- 2
Speed
Move faster without lowering the bar.
- 3
Cost
See what that level of automation costs, and whether the project needs it.
- 4
Outcome
The business impact you set out to get, visible in the numbers.
Predictable cost and timeline
Most teams estimate, build, and find out later what it really cost. We observe and measure every run, so you see an estimate before you decide, and the actual after.
We are not interested in your cost going up. We are interested in it coming down.
Refactor it
Rewrite it
Estimated before you decide. Tracked after you build. The decision stays yours. Illustration only.
Why quality still matters
Writing code is no longer the constraint. Human attention is.
AI coding tools changed how fast code gets written. The harder question is how fast quality software ships, in enterprise systems that must last, stay maintainable, be secure and often meet regulation.
What a study of 22,000 developers found
+16.2%
pull requests merged per developer
+441.5%
median time in pull request review
Quality doesn’t hold itself up
Models do not keep code quality up on their own as a system grows.
Convincing is not correct
Agent code looks convincing, so the defects that matter are hard to catch.
Who knows the system?
When no one understands the system, an incident becomes a long outage.
The full package
Platform, engineers and shared goals.
We are enterprise software engineers. We bring all three, and we bring them as one team.
Enterprise software, regulated industries
Our specialty is software that must last: maintainable, secure and trusted, where quality is not optional.
High-end engineers
You can’t run this without them, and the skills required keep going up, not down. We bring senior engineers who work this way, and we upskill yours.
Return on investment
We have always made sure software pays back. The people, the platform and the measurement exist for one reason: business impact you can see.
Our goals are your goals.
Model providers earn when you use more tokens. We are built the other way round: to hold your quality, raise your speed and bring your cost down. One team, one mindset, looking at your business outcomes.
The pod model
The core pod on every engagement.
A lean, senior, AI-augmented unit: a human and agent operating cell where every person governs a specific part of the Agentic SDLC.
Product Owner
Owns outcomes and agentification decisions
Principal Developer
Owns technical standards and architecture integrity
Lead Developer
Owns engineering execution and AI orchestration
Lead SDET
Owns quality, evaluation and release confidence
On-demand specialists, integrated into the pod
Architect, data, ML, DevOps and SysOps capability, under the same standards and governance.
ArchitectData EngineerML Platform EngineerDevOpsSysOps
Engineering capabilities across all pods
Three ways to work with us
Your team, our team, or both.
Every factory is tailored to the customer’s domain, artifacts and engineers. You choose who runs it, and you keep control of every approval gate.
We run it
Our engineers run your projects on the platform, inside your gates.
We onboard your engineers
Your engineers then run projects on the platform themselves, with our best practices.
We co-team
Our engineers and yours work the same project side by side.
In every option you keep control of your systems and every approval gate. The improvements our R&D team makes to the platform and its tested skills reach your teams, whether or not we run the project.
Agentic solutions
Agentic teammates, custom-built for your lab and your business.
Start from an example or from scratch. Every solution runs on the platform, under your governance, and is measured.
Lab operations
Lab workflow teammate
Keeps sample tracking, protocol checks and instrument data ingestion moving, with a person approving exceptions.
Custom-built
Quality
Inspection teammate
Computer-vision defect detection on production lines, connected to your manufacturing and quality systems.
Custom-built
Engineering
Legacy modernization
Systematic migration of aging systems into modern architectures, run through the Agentic SDLC and measured against your own baseline.
Custom-built
See agentic solutions Next on the roadmap: measuring the agents we build, so each solution can be observed and compared across versions.
How it works: the Agentic SDLC
Keep the tools your engineers love. Add the life cycle around them.
The platform works alongside your AI coding tools and connects to the boards you already use. We tailor it to your workflow, and we can add the customization your process needs. It builds both the software you run today and the agentic solutions that put agents to work across your business.
Claude CodeCursorGitHubAzure DevOpsJiraand the tools you chose
Phase
The agents do
Your engineers decide
1Plan
Turn epics, specs and requirements interviews into tickets, and flag gaps before work starts.
Approve the spec. That is a named gate.
2Build
Work in an isolated sandbox on stories and bug fixes, test first, and open a pull request linked to the work item.
Review by risk. Merge is always theirs.
3Review
Check the pull request against your own standards and decisions, and post a verdict.
Accept it or send it back. The decision stays with a person.
4Test
Run QA validation and attach browser test evidence to the pull request.
Decide what counts as done and what still needs a manual check.
Every run is costed, recorded and linked to its work item and pull request.
What an agent can do, in order, and where it stops
- ReadSee the work item and the code
- CommentPost findings on the board
- Spec approvalBranchWork in isolation, after the spec is approved
- CommitSave changes, test first
- PR approvalPull requestOpen it, linked to the work item
- MergeAlways withheld from the agentsA person merges
Run record
Industries
Deep expertise in the sectors that demand it most.
We build in regulated, complex and high-stakes environments, where code has to stay maintainable, secure and trusted for years.
Biotech
LIMS & Lab Automation
LIMS, lab automation, and regulatory-grade data pipelines for discovery and clinical teams.
Medical Device
ISO 13485 & QMS
ISO 13485, QMS integration, and production-line AI for device manufacturers.
Manufacturing
MES & Predictive Ops
MES, ERP modernization, predictive maintenance, and supply chain intelligence.
Financial Services
Risk & Compliance
Compliance-first platforms, risk engines, and real-time data systems at scale.
Pharma
21 CFR Part 11 & GxP
21 CFR Part 11, GxP validation, clinical data management, and regulatory submissions.
Public Sector
Secure Gov Systems
Secure, scalable government systems built for compliance, accessibility, and longevity.
Legacy Modernization
Systematic Migration
Systematic migration of aging systems to modern, agent-augmented architectures.
Enterprise Agentification
Embedded AI Agents
Embedding AI agents into existing enterprise workflows, tools, and decision systems.
See it on your own project.
Book a 30-minute working session: we map your workflow, agree a first scope and show you the metrics view.
Book a working sessioninfo@integrant.com · 858.731.8700