AIPOCH
AIPOCH builds open, inspectable AI infrastructure for scientific research. Its flagship Open Science workbench combines scientific agents, executable Python/R workflows, data connectors, model choice, and traceable research artifacts in a local-first workspace.
At a Glance
- Scientists and academic researchers
- Biomedical and life-science research teams
- Data-intensive research groups
- Universities and research institutions
- +1 more
AI Tools by AIPOCH
(1)
Open Science
AI Research Workbench Desktop App
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Latest News
Open Science v0.26.0: Run Research on Slurm and Organize Literature
Open Science vs. OpenScience: Which Research Workbench Fits Your Workflow?
Open Science v0.25.1: Recovery and Reliability for AI Research Workflows
Open Science v0.25.0: Make research outputs living, controllable documents
Products & Services
Open-source, local-first, model-agnostic and self-hosted AI research workbench for macOS, Windows and Linux. It combines agent workflows, Python/R/shell execution, scientific data connectors, notebooks, provenance, permissions, versioned artifacts, literature management, and reviewable activity history. Apache License 2.0; no seat license.
AIPOCH's open library of more than 550 reusable medical-research agent skills covering evidence insights, protocol design, data analysis, and academic writing; compatible with agents such as Claude Code, Codex, OpenCode, Hermes Agent, and OpenClaw.
A domain-specific audit framework for medical-research agent skills. It uses veto gates plus static and dynamic evaluation to assess scientific integrity, methodological validity, reproducibility, security, usability, and release readiness.
An announced AIPOCH product centered on reproducible, verifiable, and traceable workflows; the product page says further details are reserved for its private beta.
Market Position
AIPOCH positions Open Science as an open-source, local-first, model-agnostic alternative to hosted or provider-specific research assistants. Its differentiation is the combination of executable research (Python/R/shell and remote compute), scientific connectors and skills, explicit approvals, and artifact-level provenance. AIPOCH's own comparison identifies Anthropic's Claude Science and Synthetic Sciences' OpenScience as relevant alternatives; Open Science emphasizes source availability, self-hosting, model choice, and inspectability.
Founding Story
AIPOCH's initial vision was to make scientific AI workflows executable and inspectable rather than limited to conversational suggestions: researchers describe a task, agents can read files and sources, run code, query scientific connectors, and produce artifacts whose evidence and activity history can be reviewed. The company was incorporated in Singapore in April 2024.
Business Model
Revenue Model
Open Science is distributed as free, open-source software under Apache License 2.0 and does not require a seat license. AIPOCH's commercial services/products may be monetized separately; users may incur independent charges from external AI-model, scientific-service, or compute providers.
Pricing Tiers
Open-source desktop workbench; external model APIs, scientific services, and compute providers can charge separately.
Private-beta waitlist is open; no public price was stated.
Target Markets
- Scientists and academic researchers
- Biomedical and life-science research teams
- Data-intensive research groups
- Universities and research institutions
- Teams requiring reproducible, inspectable, or locally controlled AI workflows
- Literature review and evidence synthesis
- Reproducing published analyses and validating research workflows
- Biomedical and life-science data analysis
- Machine learning and statistics experiments
- Chemistry, materials science, physics, and environmental-science research
- Hypothesis development, protocol design, and statistical analysis planning