Services
Design, build, and validate analytics and AI systems
Strype helps teams ship dependable systems. Engagements can be advisory, hands-on delivery, or embedded collaboration.
Agentic AI workflows
Use cases include intake triage, document routing, QA checklists, research assistance, and data requests.
Deliverables: workflow design, tool integrations, guardrails, human review steps, and monitoring.
Data foundations and governance
Focus on secure storage, modeling, access control, auditability, and reliability.
Deliverables: data architecture, role-based access patterns, lineage and logging strategy, and observability.
LLM training and deployment
Pretraining strategy, finetuning, retrieval, and inference optimization.
Deliverables: training pipeline, evaluation harness, deployment patterns, and cost and latency tuning.
Evaluation, benchmarking, and reporting
Assess quality, robustness, safety, bias, and drift with stakeholder-friendly reporting.
Deliverables: benchmark suites, scorecards, model comparisons, and plain-language readouts.
Engagement models
Choose the cadence that fits your timeline and team structure. We keep scope and success measures explicit, then iterate with short feedback loops.
Strategy sprint (1 to 2 weeks)
Build sprint (4 to 8 weeks)
Ongoing partnership