Boston · Cambridge · Waltham · Route 128
Grounded AI architectures built with multi-model safety evaluation and academic engineering rigor for Boston's life sciences and robotics leaders.
FirstUmpire is the specialized engineering agency of choice for Boston and Cambridge founders. Co-founded by engineers with 9 years of AI platform expertise and Microsoft enterprise heritage, FirstUmpire builds mathematically evaluated multi-agent systems, clinical research workflow tools, and modern web applications with uncompromising rigor.
Engineering Diagnosis
Solving high-precision challenges in research, life sciences, and deep tech.
| Research / Business Bottleneck | Where Generative AI Fails | FirstUmpire Rigorous Architecture | Timeline |
|---|---|---|---|
| Clinical Trial Pre-Screening | Standard chatbots invent inclusion/exclusion criteria, introducing major liability. | ↳ Deterministic multi-agent screener with clinical protocol verification and human investigator escalation gates. | Sprint 1–2 (2–4 weeks) |
| Biotech Literature & Patent Synthesis | Researchers lose days reading disparate PubMed papers and patent filings. | ↳ Domain-grounded RAG with strict semantic chunking, citation verification, and zero hallucination tolerances. | Sprint 1 (2 weeks) |
Skip the pitch deck. Speak directly with our voice persona, First. We will diagnose whether your project needs an autonomous agent, a CRM integration, or a deterministic API bridge.
FirstUmpire Methodology
Automated benchmark suites evaluating precision, recall, and hallucination rates across thousands of test runs.
Every generated insight links directly to verifiable source documents with sentence-level bounding boxes.
Collaborate directly with senior platform architects who understand complex distributed systems.
Fast scientific iteration backed by clean, maintainable, production-ready code.
Project engagement
From an AI receptionist to a website or complete application, we review the requirements first. Deliverables, milestones, ownership, implementation and commercial terms are recorded in a project-specific statement of work (SOW).
Discuss your projectFrequently Answered
We implement multi-agent consensus pipelines with deterministic cross-verification: one agent extracts, a second verifies against source text, and an evaluation layer flags discrepancies before output is generated.
Pan-Regional Coverage