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AI that does the work, not demos that impress.
End-to-end AI development, from custom models and AI agents to workflow automation that turns manual processes and lagging decisions into actions the business can rely on.
AI agents
Generative AI
Workflow automation
AI integration
RAG / retrieval
Model fine-tuning
01 · THE OPPORTUNITY
AI development and automation that ships into production
AI development is only worth it when it reaches production. We build AI agents, generative AI features, and workflow automation that move past the demo and into the systems your team uses every day. We also run our own AI agents in production, so we build from operating experience, not theory.
Agents, automations, AI features
Anthropic / OpenAI APIs, Python, vector DBs
PRD-first, scoped before build
We run our own AI BDR agent
02 · WHAT WE BUILD
The work inside this service
AI agent development
Autonomous and human-in-the-loop agents that take real actions across your tools, not chatbots that only answer.
Generative AI and custom models
LLM features, retrieval-augmented generation over your data, and fine-tuned models where an off-the-shelf one will not do.
Workflow automation
Manual, repetitive processes rebuilt as reliable automations, with the guardrails to trust them in production.
AI integration
Models wired into your existing stack (CRM, data, internal tools) so the output lands where work actually happens.
03 · SELECTED WORK
Proof, not promises
Real engagements behind this service. Each links to a full case study.
AI platform
Held Accountable
An AI portfolio intelligence platform, built end to end on a custom data backend.
Live build
Multi-agent
Modus DAO
A multi-agent LLM platform that coordinates models to build software.
On-chain economics
Web3 platform
Yieldforce Scout
An AI advisor surfacing yield strategy across chains inside a live DeFi product.
Audited, live
HOW WE ENGAGED
We define the build before we build it.
VTS Labs is senior-led and PRD-first. On build work, we define what gets made, why, and in what order before any code begins, so the scope is clear from day one.
The PRD
Most build projects open with a Product Requirements Document that defines exactly what gets built, why, and in what order, before code begins.
Scoped, then engineered
We engineer against the PRD, so the work is defined up front instead of discovered as it goes.
Land and expand
Once the first build proves out, we extend it. Most clients start with one scope and grow into a longer roadmap.
FAQ
Frequently asked
Long-tail questions that catch search intent and answer the buyer before the call.
What is the difference between AI agents and automation?
Automation runs a fixed sequence of steps reliably. An agent decides what step to take next based on context, and can act across multiple tools. We build both, and pick the right one for the job rather than over-engineering.
Can you build AI on top of our own data securely?
Yes. We build retrieval over your private data with access controls, so the model answers from your knowledge without that data leaking into places it should not.
Do you fine-tune models or use existing ones?
Both. Most production value comes from prompting and retrieval on strong base models. We fine-tune only when the task genuinely needs it, and we will tell you when it does not.
How do you keep AI reliable in production?
Guardrails, evaluation, and human-in-the-loop checkpoints where the cost of a wrong action is high, plus monitoring so you can see what the system actually did.