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agent · ai-coding-agents

Factory AI

factory.aievidence retrieved Aug 7, 2026 – Sep 24, 2026view as JSONall ai-coding-agents entries29 alternatives
Reviewed12 or more fields evidenced, and scored by a human against the published rubric

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.

Runtime governance
1/3

Are 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 →
Audit trail
1/3

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 →
Compliance
0/3

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 →
Outcome settlement
0/3

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 →
Insurance & indemnity
0/3

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 information
factory.ai · checked Aug 7, 2026 · source did not state this
Insurance carriers
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Coverage limits
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Indemnification
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Liability cap
no public information
factory.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 information
factory.ai · checked Aug 7, 2026 · source did not state this
Explainability
no public information
factory.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 information
factory.ai · checked Aug 7, 2026 · source did not state this
Compliance certifications
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Regulatory alignment
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Outcome-based pricing
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Settlement mechanism
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Dispute process
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
SLA terms
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Evaluation coverage
no public information
factory.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 information
factory.ai · checked Aug 7, 2026 · source did not state this
Red teaming
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Safety policy
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Usage restrictions
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Model or system card
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Incident reporting
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Third-party evaluations
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Data handling
no public information
factory.ai · checked Aug 7, 2026 · source did not state this

Practicality

Pricing model
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Price point
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Availability
no public information
factory.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 information
factory.ai · checked Aug 7, 2026 · source did not state this
Supported regions
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Support model
no public information
factory.ai · checked Aug 7, 2026 · source did not state this

Foundation models

Base models
no public information
factory.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 information
factory.ai · checked Aug 7, 2026 · source did not state this
Fine-tuning
no public information
factory.ai · checked Sep 24, 2026 · source did not state this
Context window
no public information
factory.ai · checked Aug 7, 2026 · source did not state this

Ecosystem

Protocols supported
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Tool use
no public information
factory.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 information
factory.ai · checked Aug 7, 2026 · source did not state this
Open source
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Marketplace presence
no public information
factory.ai · checked Aug 7, 2026 · source did not state this

Impact

User base
no public information
factory.ai · checked Aug 7, 2026 · source did not state this
Deployment scale
no public information
factory.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 information
factory.ai · checked Aug 7, 2026 · source did not state this
Documented incidents
no public information
factory.ai · checked Aug 7, 2026 · source did not state this