Engineering AI. Earning trust.

AI the EnterpriseCan Trust

Bring your model. We build the harness, secure the agents, and engineer the software controllers that make AI useful, efficient, and traceable.

See How It Works

Your model. Your infrastructure. Your software.

Architecture illustration

En Verite harnessCustomer-owned

Traceability

Example model

Anthropic

Software controllers

RulesChecksBudgets

Product ManagerCustomer feedback

Technical Product ManagerScoped task tools

Software DeveloperScoped code tools

Code ReviewScoped review tools

OrchestratorFeedback & workflow improvements

Govern execution in software

Deterministic software controllers govern agents throughout execution with rules, checks, and budgets, moving repeatable work into code and reducing unnecessary inference.

Lower Token Use
Pragmatic, Quality Code
Traceable Actions

Four cumulative layers: your model and supported account; a customer-owned En Verite harness; five agents inside that harness: Product Manager Agent, Technical Product Manager Agent, Software Developer Agent, Code Review Agent, and Orchestrator Agent; and deterministic software controllers governing all five agents throughout execution. A traceability rail connects every layer. Select a step to pause and inspect it, or use playback controls.

These are example models. Selecting one changes only the illustration; it does not connect a provider account.

A closer lookBuilt with you. Owned by you.

Lower Token Usage

Reduce unnecessary inference.

Deterministic Execution

Run repeatable work in code.

Full Action Traceability

Trace every action.

Easy Adoption

CLI, desktop, and your workflows.

Partners & Ecosystem

Built Around
Your Cloud and AI

We partner with and support the cloud platforms and AI providers your business relies on, with support for all major open-source models. Bring your preferred model and infrastructure. We build around your environment.

Open-Source
Models

Your model. Your infrastructure. Your delivered software.

Explore the Control Layer

From Model to Working System

Your Model.
Engineered for
Real Work.

You bring the intelligence. We build the harness, agents, and software controllers that make it useful, controlled, and efficient.

Your model. Your Agents. Your Environment.
Built and supported by En Verite.

Your choice of intelligence
Bring Your Own Model.
Use your preferred AI model through a supported subscription, your own API account, or an open model deployment. You stay in control of model access.
A runtime built around your work
We Build the Harness.
We engineer the software environment that connects your model to your data, tools, and workflows—managing the context and execution needed to get work done.
Purpose and permissions, defined
We Build and Secure Your Agents.
We create agents for your business workflows, powered by your chosen model, with defined roles, scoped permissions, and enforced access controls.
Software governs the work
Controllers Govern and Optimize Execution.
Our software controllers govern agents throughout execution, enforcing workflow rules, validating outputs, and managing resource use. They move repeatable operations into deterministic code, reserving model inference for work that requires interpretation, reasoning, or judgment.

The result

AI Your Team Can Use.
Work Your Business Can Trace.

AI that fits naturally into your team’s workflow, reduces unnecessary inference and token consumption, and provides end-to-end traceability of agent actions, tool calls, approvals, and outputs.

CLIDesktopYour existing workflows

AI-Enabled Engineering

Enable Your Engineers.
Build Better Software, Faster.

For Product Development Teams. Help your engineers ship pragmatic, quality code faster with our AI harness, agents, and software controllers—supported by practical tests, structured review, and traceable AI actions.

For Enterprise Development Teams. Equip your internal engineers to replace expensive SaaS with in-house platforms faster. We integrate the AI tooling and support adoption; your engineers build and maintain the platforms.

AI Adoption That Sticks

Familiar CLI and desktop tools, guided workflows, and hands-on support help developers across backgrounds and career stages adopt AI in their daily work.

More Delivery Capacity

Equip your engineers to plan, develop, test, and review with AI—shipping products and internal platforms faster with less rework.

Less Workflow Disruption

We integrate the harness and controllers into your existing development process, helping your team adopt AI while keeping current delivery moving.

Better Development Economics

Move repeatable engineering work into deterministic code and reduce unnecessary inference, helping your team use developer time and token budgets more efficiently.

We Don’t Replace Humans. We 10x Engineers.Measure adoption, delivery time, rework, and inference cost.

Explore Our Enablement Approach

The Working Relationship

From Planning, Implementation, and Support,
Our Team and Your Team Are Unified.

A close working relationship.
From the first decision to everyday use.

Understand how your team delivers.

Observe.

One of our engineers embeds in your scrum team.

We study your process from story creation through development, code review, QA, and release. We profile your environments from local development through production and examine your architecture and implementations down to individual commits.

Deliverables:

Workflow mapping
Model and architecture decisions
A practical implementation plan

Turn the plan into working software.

Build.

Custom harnesses, agents, controllers, and integrations.

We engineer the software around your model: the context it needs, the agents it powers, the controls that govern their work, and the record they leave behind.

A custom AI harness
Tools and system integrations
Reviewable actions and outputs

Make AI part of everyday delivery.

Adopt.

We write code, review code, and pair program with your developers.

Working on real tasks, we tailor the harness, agents, and controllers to your codebase and development process. Feedback from your engineers shapes the implementation, so the tools fit your team and become part of everyday delivery.

Hands-on coding and pair programming
Collaborative code reviews
Tailored tools and team adoption

Keep improving as your needs evolve.

Support.

Ongoing engineering support, billed monthly.

As your models, tools, and workflows change, we help you maintain and improve the system. You keep the delivered software and the freedom to run it.

Monthly technical support
Harness and controller improvements
An engineering team that knows your system

Built from Practice

Built by Engineers
Who Use These Systems Themselves.

Five specialized agents support our own development workflow—from understanding customer needs to shipping quality software and improving how the work gets done.

01 / Discover

Product Manager Agent

Connects to public sources and communities to consolidate customer feedback, identify recurring needs, and produce a prioritized backlog of feature requests with the context design teams need.

Delivers

A prioritized backlog, ready for design

Capture Customer Signals

Gather feedback and feature requests from connected sources. Consolidate duplicate requests and retain links to the evidence behind them.

Prioritize the Opportunity

Assess recurring needs against customer value, product goals, and known constraints. Make the rationale for each priority explicit.

Prepare for Design

Define the customer problem, intended outcome, supporting context, and success criteria so design teams have a clear starting point.

02 / Plan

Technical Product Manager Agent

Turns stories from a PM agent or a person into focused engineering tasks, with implementation context, dependencies, and testable acceptance criteria that human or AI developers can act on.

Delivers

Engineering tasks, ready for development

Understand the Intent

Read the story alongside relevant code, architectural decisions, and technical constraints. Surface ambiguities before implementation begins.

Scope the Engineering Work

Break the story into focused tasks with clear boundaries, dependencies, and acceptance criteria. Identify decisions that need human input.

Make the Handoff Actionable

Provide the implementation context, verification requirements, and completion criteria a human or AI developer needs to begin.

03 / Build

Software Developer Agent

Applies senior engineering and architecture judgment to write simple, effective, maintainable code. Favors pragmatic implementations, thorough documentation, and practical test coverage matched to the change.

Delivers

Documented, tested code, ready for review

Choose a Pragmatic Approach

Understand the existing system and select a clear implementation that fits the task. Keep abstractions, dependencies, and scope proportional to the problem.

Build and Document

Write readable code and thorough, useful documentation covering behavior, architectural decisions, and the details needed to maintain the change.

Verify What Matters

Add practical tests for meaningful behavior and failure cases. Run relevant checks and record results, assumptions, and remaining limitations for review.

04 / Challenge

Code Review Agent

Constructively challenges Developer agents from senior engineering and architecture perspectives. Reviews correctness, maintainability, and test coverage, then prioritizes actionable findings for human decisions.

Delivers

Prioritized findings and clear follow-ups

Review the Implementation

Provide an independent sanity check against the intended behavior, architectural constraints, security considerations, and relevant test coverage.

Challenge and Collaborate

Question assumptions and test concerns against the code. Work with Developer agents to resolve disagreements and distinguish material risks from preferences.

Make Follow-ups Clear

Explain each finding's impact and priority, with a concrete next step. Human teams decide what to address now and what to place in the backlog.

05 / Improve

Orchestrator Agent

Uses merge outcomes and feedback from people and agents to refine the instructions, workflows, and evaluation criteria that guide each agent—helping the team improve with experience.

Delivers

Evaluated improvements to how agents work

A feedback loop across the team

Learn from the Outcome

Bring together merge results, review findings, follow-up work, and human feedback. Consider what succeeded as well as what needed correction.

Refine How Agents Work

Identify recurring mistakes, unclear instructions, and unnecessary effort. Translate those lessons into targeted instruction and workflow improvements.

Evaluate the Improvement

Check proposed changes against relevant tasks and evaluation criteria, with human oversight. Use the results to inform subsequent runs and further refinement.

Customer Voices

Their Teams. Their Words.

Within the first month, the En Verite developer represented half my team's total velocity. Every single person was blown away. In the next two months, En Verite's solutions 10-x'd everyone else.

Jim McMahonPrincipal Engineer

We cleared what we thought was two years worth of backlog in three months. We were stunned when we saw the velocity of our first sprint, and continue to be amazed, not just at the speed we're moving, but the quality of code we're releasing.

Tom ClaytonSr. Engineering Manager

En Verite's solutions helped convince my organization that AI-enablement was achievable. As a larger company, we assumed this would be a million-dollar, multi-year project. We're three months in and halfway done.

Daniel StrongVP of Engineering

Straightforward Pricing

Clear Pricing.
Real Engineering.

Engineering services, priced per scrum team. No recurring software or license fees.

01 / Assess & plan

Initial Assessment

$7,500

one-time · per scrum team

Completed within one month

Turn the opportunity into a plan. We assess your workflows and technical environment, then deliver a practical roadmap for putting AI to work.

Workflow and technical assessment
Clear priorities and recommended approach
A practical implementation plan

Know what to build—and why.

02 / Build & adopt

Hands-on Implementation

$12,500

per month · per scrum team

Typically a three-month engagement

Build it together. Our engineers work alongside your team to deliver the system, validate it in real workflows, and make adoption part of the implementation.

Custom harness, agents, and controllers
Hands-on co-development with your team
Team acceptance, enablement, and adoption

Working software. A team ready to use it.

03 / Support & refine

Professional Support

$1,500

per month · per scrum team

Ongoing, after deployment

Keep improving after launch. Get professional support to fine-tune the deployed system and stay close to how your team uses it.

Post-deployment system tuning
Team check-ins and feedback
Ongoing professional support

Keep the system useful as your needs evolve.

Built with your team. Owned by your business.

You own the harness and controllers we deliver. En Verite fees cover engineering services and professional support. Model subscriptions, API usage, and cloud costs are paid directly to your providers.

Your assessment defines the implementation scope and timeline.

Start with a Conversation

Bring Us the Work
You Want AI to Do.

We’ll talk through the opportunity, the constraints,
and what it would take to build it well.

AI the EnterpriseCan Trust

Govern execution in software

Lower Token Usage

Deterministic Execution

Full Action Traceability

Easy Adoption

Built Around Your Cloud and AI

Open-SourceModels

Your Model.Engineered for Real Work.

Bring Your Own Model.

We Build the Harness.

We Build and Secure Your Agents.

Controllers Govern and Optimize Execution.

AI Your Team Can Use.Work Your Business Can Trace.

Enable Your Engineers. Build Better Software, Faster.

AI Adoption That Sticks

More Delivery Capacity

Less Workflow Disruption

Better Development Economics

From Planning, Implementation, and Support, Our Team and Your Team Are Unified.

Observe.

Build.

Adopt.

Support.

Built by Engineers Who Use These Systems Themselves.

Product Manager Agent

Technical Product Manager Agent

Software Developer Agent

Code Review Agent

Orchestrator Agent

Their Teams. Their Words.

Clear Pricing.Real Engineering.

Initial Assessment

Hands-on Implementation

Professional Support

Bring Us the WorkYou Want AI to Do.

Built Around
Your Cloud and AI

Open-Source
Models

Your Model.
Engineered for
Real Work.

AI Your Team Can Use.
Work Your Business Can Trace.

Enable Your Engineers.
Build Better Software, Faster.

From Planning, Implementation, and Support,
Our Team and Your Team Are Unified.

Built by Engineers
Who Use These Systems Themselves.

Clear Pricing.
Real Engineering.

Bring Us the Work
You Want AI to Do.