Faros is a token engineering platform that tracks and controls AI coding spend. It connects to coding agents, gateways, source control, ticketing, and CI/CD systems.
The platform joins sessions, commits, and pull requests into one live model of token flow. Engineering leaders can see which spend produced shipped work and which did not.
Faros builds its evaluations from an organization’s own code history instead of public AI benchmarks. Its Time Machine engine replays past work against alternative models to compare cost and quality.
A policy engine then enforces approved model routes, budgets, and guardrails through a model router, either the customer’s own or Faros’s. Faros reports about 50% lower cost per task in its own testing.
Pricing
Faros uses a consumption-based pricing model, so cost scales with actual platform usage. No plan names, price points, or usage limits are published. No free plan or free trial is listed. Access starts by booking a demo or talking to an expert.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
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Engineering World Model links tickets, agent sessions, commits, and pull requests
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Time Machine replays historical work against alternative model routes
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Policy Engine manages budgets, quotas, and approved model rules
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Violation monitoring flags teams that breach budget or compliance limits
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Audit trail ties each shipped change to its spend, model, and agent
Use Cases
Allocating AI coding costs
Finance and engineering teams can trace token spend to specific teams, models, and pull requests. This separates spend that shipped work from spend lost to retries and abandoned tasks.
Choosing cheaper model routes
Teams that default to the newest frontier model can test cheaper options on their own history. Faros then routes each task type to the model that scored best for that codebase.
Building custom model benchmarks
Engineering leaders can turn merged pull requests into a private benchmark set. New models are scored on real company workloads before anyone approves them for wider use.
Enforcing approved model policies
Compliance teams can limit each team to vetted models and fixed budgets. Violations surface in monitoring, which helps regulated organizations keep AI adoption within policy.
Standardizing agent context across teams
Organizations can give agents repository-specific skills and rules. This targets uneven results when different teams use the same tools with different habits.
Strengths & Weaknesses
Strengths
Evaluations use the organization’s own code history instead of public AI benchmarks.
Token spend traces to sessions, pull requests, models, and shipped outcomes.
It works across mixed coding agents and harnesses without locking users to one model provider.
Faros holds SOC 2, ISO 27001, GDPR, and CSA STAR certifications.
Deployment options include SaaS, hybrid, and on-premises, and teams can start with one repository.
Weaknesses
No price points are published, so budgeting requires a sales conversation.
Access runs through a demo or expert call, with no public free plan or trial.
Faros states that detailed limitations are not publicly documented and must be requested from sales.
Teams with highly specialized workflows may need extra customization or evaluation, according to Faros.
Who Is This For?
Engineering leaders: CTOs and VPs who must show the return on AI coding tools and manage budgets.
FinOps managers: staff who need granular attribution of token costs across engineering departments.
AI tooling teams: groups that test models on their own codebase and manage agent configurations.
Security and compliance officers: reviewers who enforce approved models, guardrails, and audit trails.
Frequently Asked Questions
How does Faros link token spend to shipped work?
It joins tickets, agent sessions, commits, pull requests, and CI results into one graph. Spend is then attributed to the work it produced.
How is Faros different from an AI model router?
Faros adds outcome tracing, evaluation, and policy on top of routing. It enforces routes through a model router, either yours or Faros’s.
What pricing model does Faros use?
Pricing is consumption-based. No figures are published, so you need to contact sales for a quote.
Can I try Faros before talking to sales?
No free trial or self-serve plan is listed publicly. The site directs visitors to book a demo or talk to an expert.
How long does implementation take?
Faros says it can be running within days, starting with a few teams or one repository. Complex environments may take longer.
Which security certifications does Faros hold?
Faros lists SOC 2, ISO 27001, GDPR, and CSA STAR. Its Trust Center holds further security documentation, and some documents may need authorization.
Does Faros offer an API?
Yes. Faros provides an API with API key expiration. Detailed API limits are not publicly documented.
Where can Faros be deployed?
Faros supports SaaS, hybrid, and on-premises deployment. Ask sales which option fits your data requirements.
Which companies use Faros?
Autodesk, Coursera, and SmartBear appear as named customers with published case studies. No user counts or review ratings are public.
Faros states it integrates with more than 60 engineering data sources. These include coding agents, gateways, source control, ticketing, CI/CD pipelines, and incident management tools. The public pages reviewed do not name individual integrations.