
Autonomous AI Agents for Software Engineering Teams
Teamvoy builds autonomous AI agents for software development teams. Agents work with your codebase, tools, and engineering standards to handle defined workflows, with your team staying in control.
Trusted by engineering teams at:
Teamvoy has helped engineering teams at EverBlock, Market Access Direct, and 150+ companies ship faster using AI agents trained on their own codebase.
Why Engineering Teams Need More Than Generic AI Tools
An agent built on your codebase works at the level of the team, because it carries your architecture and review standards between sessions.
Context that persists.
Review time that shrinks.
Data boundaries you set.
Knowledge that stays with you.
Why Build Your Own Autonomous AI Software Engineer?
An autonomous AI software engineer takes an engineering ticket and returns a pull request. Five things change when that agent is built on your own codebase.
Scope you define.
You choose which classes of work the agent owns, and add the next one once the first has run.
Behavior you control.
Guardrails, tool permissions, and escalation rules are configured by your engineers as the work changes.
Measured against your standards.
The eval suite encodes your acceptance criteria, so the agent is judged the way your reviewers judge a colleague.
Model choice stays open.
The underlying model can change as the field moves, without rewriting the agent around it.
What We Offer: AI Agents for Software Development
By combining AI coding agents and AI agents for data engineering with context learning, each agent understands your code. Scale from one to multiple autonomous AI agents across teams.
Custom autonomous coding agents
Agents trained on your repositories for a defined job: migrations, test coverage, dependency upgrades, refactors, or code review triage.
30–40% Faster Delivery
On the workflows we automate, measured against your own baseline before we start. We agree the measurement in week one.
Agentic software development for your team.
Your engineers learn to work with agents, review their output efficiently, and extend them.
Workflow Integration
The agent works where your team already does: GitHub or GitLab, Jira or Linear, your CI, your Slack
Secure Private Deployment
Your cloud account, your VPC, or on-premise. Open-weight models on your own inference infrastructure where data residency requires it.
Cost Efficiency
Cost tracks usage and infrastructure rather than the size of your engineering organization.
Our AI Agents Success Stories
What Our Clients Say
Want AI Agents Working for You?
Drop your email – we’ll audit your setup & show where agents boost results
How It Works: From Your First AI Agent to Autonomous AI Support
Our result-driven approach to custom manufacturing software development focuses on understanding your specific needs and driving measurable improvements.
01. AI Quick Start Session
Identify high-ROI workflows and define your first internal AI agent, including optional paths for autonomous AI agents.
02. Agent Setup (2–5 Weeks)
We build and deploy AI autonomous agents trained on your codebase.
03. Developer Training
Hands-on guidance so your team can create your own AI, manage autonomous agents AI, and extend them over time.
04. Continuous Support
Performance tuning, workflow expansion, and deeper integrations with AI agents for data engineering and other internal tools.
Talk to an AI Agents Expert
Book a Quick Start Session to see how AI agents can accelerate your engineering performance and show how autonomous AI agents operate inside your environment.