Buildingproductswith
agentsandhumans
AI systems for industries where a wrong answer has consequences.
We design and build from research through production — pairing agentic systems with human judgment across AI, UX, iOS, and Web.
Research before anything else
We surface what users actually need before a line of code is written. Interaction models, information architecture, and AI-native interfaces — designed to be tested early and built to last.
Deeper than the API
Fine-tuning, evaluation, adversarial testing, retrieval architecture — we work at the model layer. Built for environments where AI has to be reliable, not just functional.
Native, not adapted
Swift-native applications that feel genuinely at home on Apple devices — including on-device inference and Core ML for AI that works without a network call.
Built for the long run
Full-stack web from architecture through deployment. AI-integrated backends, real-time inference, and API layers designed for performance today and scale tomorrow.
We work at the model layer, not just the API layer.
Most teams wire a prompt to an API and call it AI. We go further. Fine-tuning, evaluation, adversarial testing, retrieval architecture — the full stack, from research to production, in environments where reliable means something.
Agentic systems
Multi-step reasoning, tool use, and persistent memory. Agents that plan, act, and recover — not just respond.
Fine-tuning & alignment
Domain adaptation and behavioral alignment on your data. Models that reflect your context, not just general knowledge.
Evaluation & red teaming
Adversarial testing, regression benchmarks, and safety audits before systems reach users — and ongoing monitoring after.
RAG & retrieval
Hybrid search, vector stores, and knowledge grounding for AI that answers from your context, not hallucination.
The gap between AI capability and AI adoption is a people problem.
Most organizations have access to the same models. The ones that pull ahead are the ones whose people know how to use them well. We work directly with teams — building the knowledge, habits, and organizational scaffolding that make AI investment pay off.
Workshops
Hands-on sessions that build AI fluency across your team — from prompt fundamentals to agentic workflows. Practical, opinionated, and built around your stack.
Training programs
Structured curricula delivered over weeks, calibrated to your team's starting point and use cases. We teach the concepts that actually transfer to production work.
AI advisory
Strategic consulting on where and how to integrate AI into your organization — without the hype. We help you make defensible decisions before committing to a roadmap.
Readiness assessment
An honest audit of team capabilities, tooling, data, and process. The clearest picture of where you are and what it takes to get where you want to be.
“The best products are built when machines and people work in concert — neither fully automated nor fully manual.”
Agents handle scale, pattern, and repetition. Humans bring judgment, taste, and context. That balance matters everywhere — and becomes critical in regulated industries where a wrong assumption costs more than time.
Every engagement begins with research. We understand the problem before proposing a solution, and we build for correctness before we build for scale.
Start a
conversation
Choose a channel. Nina will take it from there.
Every inquiry is considered carefully. Most are declined. We reserve capacity for the work we believe in.
Nina takes every first conversation — scoping, questions, pricing, and terms. She has full authority to decide.