Statistiq is a boutique AI firm built by senior operators — people who shipped AI inside a Top-3 global consulting firm, a Fortune-100 retailer, and venture-backed AI startups. We pair strategic depth with engineering rigor across insurance, healthcare, life sciences, retail, and marketing — and we’re building flagship products in insurance and healthcare. If your AI investment has stalled between pilot and production, we’re the firm you wanted last time around.
MIT’s State of AI in Business 2025 found that only 5% of enterprise AI investments reach production. BCG reports that 93% of insurance AI projects fail to scale.
The market is crowded with five-thousand-person analytics firms and offshore engineering shops. Nobody sits in the middle — the seam where senior strategic judgment and senior engineering rigor have to meet for an AI system to actually ship, survive its regulators, and move a P&L line.
Statistiq exists in that seam.
We work end-to-end across the AI lifecycle. Most clients begin with one service line and expand from there.
Roadmaps, deep-dives, investment cases, governance setup, build-vs-buy reviews. Outcomes engineering-credible enough to fund. Unlike strategy firms, our architecture diagrams are ones our engineering team would build.
Explore Strategy & AdvisoryML systems, GenAI applications, agentic workflows, data foundations, AI product engineering. Senior teams. Production-grade. No offshore handoff.
Explore Build & EngineeringMonitoring, MRM, evals, retraining, optimization, AI CoE support. The compounding work — where 95% of programs break and we step in.
Explore Run & OptimizeWe don’t do everything for everyone. We work in five industries where our team has direct, shipped experience — and we build flagship products in two of them.
We work in five industries where we've directly shipped. Outside those, we'll tell you who else we'd trust.
Senior-only · Honest about fit
The person who scopes your engagement is the person who builds it. No offshore handoff. No three-juniors-and-a-PM. Engagement teams capped at five.
Our deliverables are engineering-credible. The architecture diagram is one we'd build. The business case is one we'd defend to the CFO. The model risk plan is one we'd operate.
We measure what we move. Loss-ratio points. Denials dollars recovered. MER lift. On-hand reduction. We end engagements with a written handover and runbooks an in-house team can pick up.
Where our founding team has worked and what we’ve shipped (with respect to prior-employer confidentiality, results are described in summary form).
Fortune-100 retailer
Annual improvement in on-hand inventory. Recommendation system across 3,000+ stores at ~82% precision, fine-tuned per store and department.
merchandising · supply chain
Top-3 consulting · healthcare
Lift in patient onboarding efficiency. AI-driven patient triage on GCP / Vertex AI with 85% recall. Integrated into clinical workflows.
patient operations
Venture-backed insurance AI
Multi-agent submission digitization and intake. RAG pipelines for risk insight surfacing. Carrier-grade MRM and human-in-the-loop scaffolding.
underwriting workbench
SaaS marketing platform
Annual increase in TCV. Scalable time-series forecasting on AWS. RAG-based recommendation on LangChain integrated with proprietary client data.
growth + lifecycle
Top-3 consulting · banking
Classification accuracy. NLP-driven process mining and discovery combining ensemble methods with deep learning.
process intelligence
Ad-serving & ML platform
Horizontally-scalable ad-serving platform. Unified data + ML platform integrating feature stores, training pipelines, and forecasting.
platform engineering
Whether you're sizing a roadmap, choosing a vendor, building a system, or operating one that needs to stay alive — we'd like to hear about it. Most first conversations are 30 minutes with a senior partner from Statistiq, not a sales development rep.