Sabiamia
$start a run
Sabiamia designs and engineers generative AI systems and full-stack software, then takes them the whole way to production: agentic systems, MCP-connected tools, RAG over private knowledge, data platforms, and the product around the model.
Every engagement runs the same pipeline to production. Where it starts depends on what you bring.
We scope it, design the system, and engineer it to production. New systems, built to be operated, not demoed.
Fast to build, fragile to run. We read the codebase end to end, identify weaknesses, clean up the implementation, and upgrade it into a maintainable, production-ready product.
Illustrative findings from a typical review. Yours will differ.
End-to-end delivery on the latest in generative AI, from agent architecture and evals to shipping and scaling full-stack products.
Autonomous, tool-using agents with planning, orchestration, and human-in-the-loop control, built to do real work, not just chat.
Connect LLMs to your systems with the Model Context Protocol: custom MCP servers that let agents securely act across your apps, data, and APIs.
Retrieval that reasons: hybrid and vector search, re-ranking, and context engineering that delivers grounded, cited answers over your private knowledge.
Vision and document intelligence: assistants that read, see, and reason over images, PDFs, and complex documents using today's multimodal and reasoning models.
Model selection across Claude Opus 4.8, GPT-5, Gemini 2.5, and open-weight models, plus fine-tuning, prompt optimization, automated evals, and safety guardrails that make AI reliable enough to trust in production.
The product around the model: React and TypeScript front ends, C#/.NET, PHP, and Node.js services, and scalable AI infrastructure on AWS.
Expert review of AI-generated and vibe-coded projects. We identify weaknesses, clean up the implementation, and upgrade it into a maintainable product you can run in production.
Frontier models, agent frameworks, and retrieval, wrapped in the full-stack and cloud layer that makes them dependable.
models · frontier
agents · orchestration
retrieval · vectors
ml · data engineering
inference · evals · ops
full-stack · cloud
techniques · defining 2026
Not last year's chatbots. The field moves fast, and so do we.
A track record across generative AI, machine learning, data platforms, and full-stack products. Each schematic is drawn as you reach it.
A RAG-powered assistant answering from private documents with grounded, cited responses.
Forecasting, recommendation, and classification models, trained, evaluated, and deployed into production.
ETL/ELT pipelines, warehouses, and streaming: reliable data foundations for analytics and AI.
High-traffic storefront with payments and a microservices migration for scale.
Real-time reporting over thousands of daily transactions with low-latency dashboards.
Tool-using agents automating research and ops with human-in-the-loop review.
A software studio pairing decades of engineering experience with the latest in generative AI.
Our work spans machine learning, data engineering, full-stack development, and data-driven platforms for enterprises and startups. Today we help teams put AI and ML to work in production, not just in demos.
We bring a commitment to best practices, reliability, and measurable results, whether we are building a new system or taking over one that was vibe-coded into a corner.
where we work
Dependable, maintainable software that can operate in production.
Models, data, interfaces, services, evaluation, and operations, treated as one product system.
Greenfield builds, and the expert review, cleanup, and upgrading of vibe-coded implementations.
Fast-moving AI capabilities turned into useful products with clear scope, safeguards, and human control.
Accurate claims. No fabricated clients, testimonials, or outcomes.
Tell us about your product, your AI initiative, or the codebase that needs a second pair of eyes. We'll help you scope it. The first consultation is free.
Bring a new system: sabiamia build --new. Bring a vibe-coded project: sabiamia review ./your-app. Either way, start a run.
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