Trusted answers across disconnected systems.
Arcell's AI Data Scientist assembles mission context and delivers trusted, evidence-linked answers with source-level provenance, explicit uncertainty, reproducible analysis, and human oversight.
Works alongside existing systems and turns fragmented evidence into auditable decisions without requiring wholesale system replacement.
Our Users
Evidence-Burdened Vendor Dependency Analyst
Integration-Constrained Defense Logistics AI Product Owner
Readiness Recovery Lead
Context for mission-critical decisions.
Help operators, analysts, and engineers investigate questions across disconnected systems, with evidence behind every answer.
Logistics & Vendor Dependencies
Connect supplier, financial, and operational data to trace dependencies and assess disruption risk.
Operations & Engineering
Connect records, requirements, and workflows to support defense, public-sector, and healthcare operations.
Physical AI & Research
Connect instruments, robots, and experimental data across lab automation, scientific R&D, and autonomous systems.
Foundry
Alex Velez Arce
Founder, ArcellAI
Alex is an MIT computer science graduate who developed the core technology powering ArcellAI's architecture as part of his biomedical AI research at Harvard Medical School (sponsored by the Chan-Zuckerberg Initiative). His background includes leadership of Therapeutic Data Commons (TDC) and spinning out PyTDC—an API-first AI and data platform for deploying AI on continuously updated heterogeneous data sources built on rearchitecting TDC—and published research at both NeurIPS and ICML. He won a conference grant for PyTDC's poster presentation at ICML, where ArcellAI was the lead institution on the publication.
Alex has extensive experience building production data infrastructure, ML evaluation frameworks, ML deployment systems, and source-level provenance tracking, acquired at Pinterest and several startups.
Request a Briefing
Tell us about the disconnected data, engineering, or operational systems behind your mission workflow.