Discovery & Problem Assessment
We study your systems, data, and workflows to understand what’s worth solving with AI.
Outcome
Clear opportunities with evidence behind them.
Timeline
2-3 weeks
Programs
Services built for high-impact AI initiatives.
Prototype & Pilot Builds
We design small, focused experiments to see what works and what doesn’t.
Outcome
A working pilot and a confident go/no-go decision.
Timeline
1-2 weeks
Custom Model & System Development
Fine-tuning, building retrieval systems with vector or graph databases, adding long-term memory, or designing continual-learning loops
Outcome
A reliable model with evaluation checks built in.
Timeline
6-10 weeks
Integration & Deployment
We integrate the model into your product with secure APIs, orchestration, monitoring, and load-tested workflows.
Outcome
A reliable deployment with observability and runbooks.
Timeline
3-5 weeks
Data & Pipeline Engineering
We design pipelines for collection, labeling, feature extraction, embeddings, and evaluation.
Outcome
Clean data + solid observability → systems
Timeline
4-8 weeks
AI Strategy & Roadmap
Understand where LLMs fit, how to scale them, when to use fine-tuning vs RAG, how to measure drift, and how to build internal capability.
Outcome
Multi-quarter AI roadmap with clear priorities
Timeline
2-4 weeks