About
A sharp team that ships AI to production
Formentia is a team of AI engineers and researchers who got tired of watching great ideas die in proof-of-concept purgatory. We turn AI from a buzzword into working, deployed systems that create real value.
Our story
We started Formentia because the AI consulting market is broken. On one side, strategy firms that can't write code. On the other, dev shops that treat AI as just another API call. Neither gets you to production.
We built a different kind of team: engineers and researchers who understand the theory and ship the code. People who can debate model architecture in the morning and have the production infrastructure running by evening.
To prove our depth, we built our own products. MyCloset pushed us deep into multimodal LLM classification, recommendation engines, and computer vision pipelines. Mirror taught us about on-device sensor processing and privacy-first architecture. These projects aren't just portfolio pieces -- they're production systems that real people use every day.
That experience is what we bring to every client engagement: hands-on knowledge of what it takes to get AI from prototype to production.
How we think
Principles that guide every engagement and every line of code.
Engineering depth
We're practitioners, not slide-deck consultants. Every recommendation we make is grounded in real implementation experience shipping AI systems to production.
Pragmatic AI
We match the right tool to the problem. Sometimes that's a frontier LLM, sometimes it's a rules engine. We optimize for outcomes, not hype cycles.
Ship, then iterate
AI projects fail in PowerPoint. We get working systems in front of real users fast, then improve based on data and feedback loops.
Full-stack ownership
From model selection through production infrastructure, we own the entire delivery. No handoff gaps between data science and engineering.
Technical expertise
Deep, hands-on experience across the AI and product stack.
LLM Frameworks
Genkit, LangChain, Semantic Kernel, and direct model APIs. We build structured, evaluated LLM pipelines with prompt management, output parsing, and cost controls.
Agentic Systems
Multi-agent orchestration, tool use, planning loops, and human-in-the-loop workflows. We design agents that are reliable enough for production autonomy.
Recommendation & Personalization
Hybrid recommendation architectures combining embedding retrieval, contextual signals, and LLM reasoning for deeply personalized experiences.
Computer Vision
Image classification, object detection, segmentation, background removal, and multimodal understanding. Cloud and edge deployment experience.
Cloud & Infrastructure
Google Cloud, Firebase, Cloud Run, and serverless architectures optimized for AI workloads. CI/CD pipelines with model evaluation gates.
Product Engineering
Next.js, React, TypeScript, PWA, and cross-platform mobile. We build the full product around the AI -- not just the model.
Want to work together?
We're always interested in ambitious AI projects. Tell us what you're building.
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