Factory AI
13 fields evidenced · 42 with no public information. Every value below links to the document it came from and the date we checked it.
1 of the evidenced values quotes wording our own later capture of the same page no longer contains. Marked below, awaiting an editor.
Trust gap
How this is scoredAre scope, spend, and authority enforced while the agent runs?
The vendor publishes a governance posture - "Deploy a governed system that continuously turns enterprise signals into validated production software" - and states the customer sets goals and policies while agents plan and build. That is a claim of governance at the level of positioning, with no scope, spend or authority threshold named and permission_scopes no_public_information, so it scores 1 rather than higher.
Counts Human oversight and Runtime governance, each cited below.
How this gap gets closed →Is there a tamper-evident record of what it actually did?
A record exists and is customer-visible: "Monitor active missions, track worker progress, and view detailed execution logs in real time." No retention period, scope or tamper-evidence is claimed, and audit_trail_immutable is no_public_information, so this is 1 - a reviewable log, not a tamper-evident one.
Counts Audit trail, each cited below.
How this gap gets closed →Are compliance obligations attached per engagement?
No public evidence found. No certification, attestation or regulatory framework is named on the captures checked; compliance_certs and regulatory_alignment are both no_public_information.
How this gap gets closed →Does payment depend on a verified result?
No public evidence found. No pricing at all is published on the captures checked, let alone an outcome condition; pricing_model, outcome_based_pricing and settlement_mechanism are all no_public_information.
How this gap gets closed →Can the deployment be insured, and is the customer indemnified?
No public evidence found. No cover, carrier, limit or indemnity appears; insurance_available, indemnification and liability_cap are all no_public_information.
How this gap gets closed →Assurance
- Insurance available
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Insurance carriers
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Coverage limits
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Indemnification
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Liability cap
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Audit trail
- Mission Control tracks worker progress and detailed execution logs in real time
“Monitor active missions, track worker progress, and view detailed execution logs in real time.”
factory.ai · checked Sep 24, 2026 - Tamper-evident log
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Explainability
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Runtime governance
- Platform is explicitly positioned as a governed system turning enterprise signals into production software under enterprise-set policy.
“Deploy a governed system that continuously turns enterprise signals into validated production software.”
factory.ai · checked Sep 24, 2026 - Permission scopes
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Compliance certifications
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Regulatory alignment
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Outcome-based pricing
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Settlement mechanism
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Dispute process
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- SLA terms
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Evaluation coverage
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
Agency
- Autonomy level
- Uses autonomous agents (Droids) to plan, build, review, and ship software across desktop, terminal, web and CLI.
“Plan, build, review, and ship software with autonomous agents across desktop, terminal, web, and CLI.”
factory.ai · checked Sep 24, 2026 - Human oversight
- Team sets the goals and policies while Droid plans, builds, and validates changes.
“Use Droid to plan, build, and validate changes, while your team sets the goals and policies.”
factory.ai · checked Sep 24, 2026 - Goal complexity
- Handles open-ended, multi-step work: turning enterprise intent and codebase context into validated production software, not single discrete tasks.
“Turn enterprise intent and codebase context into validated production software.”
factory.ai · checked Sep 24, 2026 - Action space
- Agents plan, build, review, and ship software across desktop, terminal, web, and CLI
“Plan, build, review, and ship software with autonomous agents across desktop, terminal, web, and CLI.”
factory.ai · checked Sep 24, 2026 - Operating environment
- Operates across desktop, terminal, web, and CLI
“Plan, build, review, and ship software with autonomous agents across desktop, terminal, web, and CLI.”
factory.ai · checked Sep 24, 2026 - Initiative
- Agent puts repetitive engineering work on autopilot, with droids initiating plan/execute/validate on shared context rather than waiting for step-by-step prompts.
“Put repetitive engineering work on autopilot with droids that plan, execute, and validate on a shared context.”
factory.ai · checked Sep 24, 2026
Safety
- Safety evaluations
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Red teaming
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Safety policy
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Usage restrictions
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Model or system card
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Incident reporting
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Third-party evaluations
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Data handling
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
Practicality
- Pricing model
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Price point
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Availability
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Deployment options
- Offers purpose-built local hardware (Droid Computers) that runs agents on dedicated compute with persistent state
“Purpose-built hardware that runs your agents locally with dedicated compute, keeping state persistent across sessions.”
factory.ai · checked Sep 24, 2026 - Integrations
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Supported regions
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Support model
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
Foundation models
- Base models
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Model provider
- Routes tasks across multiple AI models automatically rather than relying on one fixed provider.
“Route every task to the best model for the job, balancing quality, speed, and cost automatically.”
factory.ai · checked Sep 24, 2026 - Model swappable
- Customer controls which underlying models the system uses
“Control where your system runs, how it learns, and which models it uses.”
factory.ai · checked Sep 24, 2026 - Open weights
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Fine-tuning
- no public informationfactory.ai · checked Sep 24, 2026 · source did not state this
- Context window
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
Ecosystem
- Protocols supported
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Tool use
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Multi-agent
- Mission Control coordinates multiple concurrent agent workers across active missions, tracked in real time.
“Monitor active missions, track worker progress, and view detailed execution logs in real time.”
factory.ai · checked Sep 24, 2026 - API access
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Open source
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Marketplace presence
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
Impact
- User base
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Deployment scale
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Target sectors
- Global systems integrators and enterprise engineering teams, including AI labs
“From global systems integrators to the AI labs building the models themselves.”
Not in our latest capture. This quote was on the page when we filed it. We captured the same page again on Oct 6, 2026 and it was not there. The value above has not been re-checked by an editor yet. How we re-check citations
factory.ai · checked Aug 26, 2026 - High-risk domains
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this
- Documented incidents
- no public informationfactory.ai · checked Aug 7, 2026 · source did not state this