Services — MCPs, Skill Libraries, Evals & Agentic Harnesses | Moda Labs
Trusted builders who deliver.
Moda Labs embeds experienced product and engineering talent to deliver high quality AI and data work quickly, with a craft-first bar and a long-haul mindset.
WHAT WE DO
We help teams build and ship real AI
From custom AI agents to critical infrastructure such as MCPs and evaluations, we deliver cutting edge technology and products that make a real difference for your organization.
AI Agents
Practical AI systems that handle real tasks for your users. They connect to your tools, read your data, and complete multi-step workflows.
- In-product assistants
- Automated workflows
- Custom personas
AI Infrastructure
Evaluation frameworks, MCP servers, retrieval systems. The parts that keep your AI working correctly as you add more complexity.
- MCP integrations
- Evaluation systems
- Retrieval, memory, and context
AI Data Solutions
Data models, pipelines, and embeddings that give your AI access to the right information. The lynchpin to create lasting differentiation.
- Data modeling and pipelines
- Structured sources of truth
- Embedding and retrieval systems
WHY MODA
How teams engage with Moda
Flexible engagement models designed to meet you where you are. Whether you need clarity, a bold first build, or a long-term partner to help you create something truly differentiating.
Blueprint
A focused, time-bound engagement to help you get clear on what to build, why it matters, and how to ship it with confidence.
- Product and technical direction
- Architecture and system design
- Clear roadmap and scope
Typical timeline:
1 month
Forge
A three month surge to forge your AI product into something real, running in production, iterated from actual user feedback.
- A full-stack embedded team
- Production delivery, no proof of concepts
- Iterations with real product feedback
Typical timeline:
3 months
Mastercraft
This is the work we care about most. A 6-12 month project to build something meaningful together, leaving your team and product transformed when we're done.
- Multiple cycles with compounding growth
- AI technology, differentiated and inimitable
- Deep expertise seeded in your organization
Typical timeline:
6–12 Months