What We Build
Production AI systems engineered for high-stakes environments. Every capability listed here is running in production today, handling real data, for real operators.
Autonomous AI Agents
Self-correcting multi-step workflows that handle routine decisions at scale. Humans review exceptions only.
We build AI agent systems that execute complex, multi-step operational workflows end to end. These agents self-correct on failure, escalate edge cases through human-in-the-loop exception handling, and continuously improve based on feedback loops. The result is the same headcount doing 10x the work, with 85% less manual review.
Document Intelligence
Natural-language search across massive document sets. Sourced answers in seconds, not hours.
We build NLP-powered search and extraction systems that let analysts query hundreds of thousands of documents using plain language. Every answer is sourced and traceable. No hallucinated citations. We have indexed 800K+ documents in a single deployment and cut review cycles by 70%.
Data Engineering
Resilient ETL pipelines that unify scattered data into ML-ready infrastructure.
Most AI projects fail because the data is not ready. We build the foundation first: ETL pipelines that pull from disparate sources, normalize formats, handle schema drift, and deliver clean, unified datasets. We have collapsed 5 source systems into 1, cutting manual data prep by 90% and enabling ML workloads that were previously impossible.
Predictive Analytics
ML models that flag anomalies before they cause impact. Advance warning, not reactive alerts.
We build anomaly detection and forecasting systems that shift your operations from reactive to predictive. Our models identify patterns across time-series data, flag deviations hours before they escalate, and feed directly into alerting dashboards. Clients see 60% fewer incidents and get hours of advance warning on the ones that do occur.
Model Customization
Fine-tuning LLMs on your proprietary data with strict privacy guarantees.
General-purpose models get you 80% of the way. The last 20% requires domain-specific tuning on your data. We fine-tune large language models on proprietary datasets within your environment. Your data never leaves your infrastructure. The result is a model that understands your terminology, workflows, and edge cases at a level no off-the-shelf solution can match.
Embedded / Edge AI
On-device intelligence for disconnected or resource-constrained environments.
Not every system can call the cloud. We build computer vision and ML models that run directly on embedded hardware with zero cloud dependencies. Fully on-device inference, real-time processing, and 99% measurement accuracy in industrial and field environments where connectivity is unreliable or nonexistent.
Full-Spectrum Implementation
End-to-end ownership of your AI stack, from raw data ingestion through production-grade decision interfaces. We architect the infrastructure, build the models, deploy the system, stand up monitoring, and transfer everything to your team. One vendor. One accountable party. No gaps between strategy and execution.
This is how we run most engagements. You get a production system, not a handoff between five subcontractors.
Have a problem worth solving?
30-minute call. No pitch deck. We will tell you exactly how we would approach your problem and whether we are the right fit.
We take on 3 engagements per quarter. Limited capacity means senior-level attention on every project.