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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:

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midland first bank logo.
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nasdaq logo: blue stylized 'n' mark followed by gray 'nasdaq' text.
iress company logo
osl company logo
amitipi logo: blue triangle icon next to the word 'mitipi' in blue text.
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ecoblock logo: blue square icon with a green outline/overlay and the word ecoblock in green and blue.
velory wordmark logo in gray lowercase letters with a small underline under the 'velo' portion
neopenda logo: teal circle with a blue waveform and the word neopenda in blue lowercase letters.
garrison flood control logo
brand logo for cardb: a yellow diamond icon with a stylized mark, followed by the word 'cardb' in yellow.
midland first bank logo.
reflect logo with white lowercase letters on a dark background
nasdaq logo: blue stylized 'n' mark followed by gray 'nasdaq' text.
iress company logo
osl company logo
amitipi logo: blue triangle icon next to the word 'mitipi' in blue text.
market access digit logo with a stylized left graphic and the text 'market access digit'
ecoblock logo: blue square icon with a green outline/overlay and the word ecoblock in green and blue.
velory wordmark logo in gray lowercase letters with a small underline under the 'velo' portion
neopenda logo: teal circle with a blue waveform and the word neopenda in blue lowercase letters.
garrison flood control logo

Teamvoy has helped engineering teams at EverBlock, Market Access Direct, and 150+ companies ship faster using AI agents trained on their own codebase.

4.9 /5

Verified B2B client reviews from fintech, insurance, healthcare, and hi-tech engagements.

5.0 /5

A B2B review platform that connects businesses with verified software solutions providers.

4.5 /5

Transparent platform where current and former employees share company reviews and interview experiences.

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.

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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

The care and interest they showed are what makes Teamvoy special. The system contributes to company sales, which is the best metric of success. Teamvoy was excellent in terms of project management and were extremely responsive while coming up with creative solutions.

The game had a huge impact on the client’s business and helped display the exhibition. Teamvoy utilizes project management tools to ensure a smooth workflow. The team us understanding, hard-working, and experienced.

Teamvoy’s support and expertise have been integral in helping the client build and scale their product. An agile partner, they manage their tasks well and are consistent in delivering according to schedule. Their strong understanding of blockchain and the quality of their work make them stand out

Teamvoy has successfully launched the system within the set timeline and integrated all the required tools and features. The collaborative team led regular meetings, delivered on time, and communicated effectively. Their proactive problem-solving approach and commitment to innovation stand out.

We work with them for over 2 years, and they have been very reliable and timely in providing us quality development services. Their creative input and talented team helped us build a better product!

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.

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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.

No sales process. No long forms. You talk to a Chief Technology Officer on the first call.
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Urgent — AI in production failing or vendor rescue: call directly.
Response within one business day.
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Bohdan Varshchuk
Chief Technology Officer

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