One record
Sources, experiments, decisions, and outputs stay connected.
Open-source research infrastructure
Research that survives scrutiny.
Run governed computational investigations across public knowledge and private data.
ApolloBot preserves the question, protocol, evidence, code, decisions, and final artifacts in one reproducible record.
Private by defaultReproducible by designHuman approval at every exit
Investigation workspaceRunning
A◉□⌘◇
InvestigationNovel biodegradation pathway
In progressEvidenceExperimentsArtifactsProvenancePlan
Evidence summary
312 papers and 16 internal documents form a novel pathway with linked evidence.
▦Sources△Experiments◇Artifacts
78% confidence
Provenance graph
View full graph →
Hard controls
Budgets, permissions, and publication gates are explicit.
Useful deliverables
Leave with evidence, a paper, and an execution path.
How it works
From question to defensible result.
A bounded workflow keeps the work inspectable without turning every decision into a meeting.
Frame
Define the question and success criteria.
Gather
Connect and synthesize public and private knowledge.
Test
Design experiments and run computational investigations.
Verify
Validate results, limits, provenance and reproducibility.
Deliver
Publish the paper, schematics and execution blueprint.
Complete by default
Every investigation leaves a complete, citable trail.
Everything needed to review, reproduce, and act — assembled as inspectable artifacts, not a black box.
A publication-ready manuscript with methods, results, figures and references.
Preview →Transparent lineage from sources to claims and results.
Explore →Structured records of experiments, data and observations.
Open notebook →Architecture and process diagrams for build and deployment.
View schematics →Everything another team needs to reproduce the result.
Download kit →A practical path from finding to execution.
View blueprint →Private by default
Your research stays private.
Your organization’s knowledge, data, and results remain isolated within your secure boundary.
- Customer data
- Private experiments
- Internal results
- Proprietary models
- Secure environment
You decide what crosses the boundary — and when.
- Human approval
- Artifact review
- Redaction controls
- Export only what's approved
Optional publication
Your contribution can become public.
When a team chooses to publish, approved findings advance the broader research community without exposing private inputs.
- Open findings
- Public datasets
- Reproducible methods
- Shared knowledge
- Collective progress
Deployment
One engine. Three operating models.
Use the same research lifecycle in your infrastructure, our private cloud, or a managed program.
Operate ApolloBot in your own environment.
- Apache 2.0 core
- Your compute and storage
- Community support
A dedicated workspace managed by ApolloBot.
- Private compute
- Team controls and metering
- Managed updates
A scoped program run with your team.
- Research design
- Execution and review
- Publication-ready package
Trust model
Scientific controls, not decorative badges.
Isolation
Separate environments for each organization.
Access
Named roles and explicit permissions.
Provenance
Receipts for sources, code, models, and decisions.
Approval
Human review before external actions.
Start with one question
Build the evidence before the decision.
Scope a private investigation or inspect the open-source engine.