AI agents & automation
Agentic systems that pursue a goal, use your tools and data, and act in your systems, with the evaluation and guardrails to run in production.
AI engineering company
We build production AI systems with your team.
Our model is forward-deployed AI engineering. Nazmi works inside your team and owns the technical path, from the first architecture to the running system.
What Nazmi does
AI agents, automation, and custom models.
Deep experience in AI agents, automation, and custom model training, backed by production systems, technical writing, and research.
Custom model training
We train, fine-tune, distill, and align open models on your data, then deploy them wherever you want, with you owning the result.
Experience behind Nazmi
Isaac Kargar, founder
10+ years building production AI and machine learning systems. His background includes roles as Principal AI Scientist at In Parallel, co-founder and Chief AI Officer at Resoniks, and AI engineer at Silo AI (now part of AMD), alongside PhD research in machine learning and robotics at Aalto University.
Selected writing
Depth you can read.
Recent technical notes on AI engineering, models, and production systems.
Small-Model Distillation, Part 7: Training a 4B Model for Customer Support
Training Qwen3.5-4B on successful customer-support conversations improved its best version’s score, but lower training loss did not mean better results.
Read →Small-Model Distillation, Part 6: Training a 9B Model to Fix SQL Queries
A trained Qwen3.5-9B checkpoint matched GPT-5.5 medium on 220 SQL repair tasks. Teacher examples and verified corrections improved the score, with regressions at every stage.
Read →Before an AI agent touches customer data: six production gates
A demo shows that an agent can complete a task. These six gates ask for evidence that it can operate within a bounded workflow, with limited authority and a recovery path.
Read →Work with Nazmi
Bring Nazmi in on the work that has to ship.
Tell us what you are building, what exists today, and where your team needs help.
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