Comparisons · Faros AI alternatives

6 Best Faros AI Alternatives in 2026

Faros AI is good at the question it was built for: what the AI coding tooling costs and what it returned. Teams look elsewhere for three reasons. Paid pricing is not published, so budgeting starts with a call.

The product is built around spend and adoption, and some teams need enforcement and evidence instead. And if the spend you actually care about is your own product’s model calls, this is the wrong shelf entirely.

Every price below was read from that vendor’s own pricing page, each entry carries the date it was checked, and the oldest on this page is October 2026. We re-check every quarter.

The short version

Product Why it is on this list Starting price Free tier
Fastpace Governs the agents and proves what they did, rather than costing them. $29 per editor seat, per month Community tier, free.
Swarmia Sells AI adoption and cost as a module at $5 per developer per month, with a published price. $45 per developer, per month Free for companies with up to 9 developers, with all Standard features except HRIS integrations and their AI features.
Jellyfish Has an AI Impact module aimed at the adoption, efficacy and impact of AI coding tools. Not published None published.
Waydev Covers AI tool adoption alongside delivery metrics and cost, priced per active contributor. Quote only None.
Portkey If the spend you care about is your product’s own model calls, a gateway is the cheaper answer. $49 per month Developer plan, free forever, not for production.
Langfuse Open source and free to self-host, if the question is really about the LLM features you ship. From $0 Hobby plan, free, plus free self-hosting.
Faros AI (the one you have) Ties AI coding spend to the results it produces, with model selection and usage policy. Not published Free desktop and preview.

“Not published” means the vendor shows no price on its own pricing page, so the first step is a sales conversation.

1. Fastpace

Fastpace

Writes one policy for every coding agent, records what each one did, and signs the record.

Best for: Teams running more than one AI coding tool who have to answer for what those tools did.

Strengths
  • One policy, compiled into each agent tool’s own enforcement format.
  • A signed receipt for every AI call: model, endpoint, runtime, training opt-out, and hashes of the prompt and the reply.
  • A hash-chained audit log, so changing an old entry breaks every entry after it.
  • Commit trailers that tie a diff back to the run that produced it, verified in layers.
  • An AI bill of materials, and evidence mapped to the frameworks an auditor asks about.
  • Finds AI use that never went through a governed tool.
  • Runs locally, in your repository. No code or prompt text leaves the machine.
Weaknesses
  • It governs coding agents. It is not a gateway for the AI calls your own product makes.
  • It does not register or risk-assess the models your company deploys, which is a different discipline.
  • The compiler reports honestly that agent tools do not all enforce equally hard. Some settings a determined developer can route around.
  • We are newer than the companies on these pages and publish no logos we cannot name.
Pricing

Community is free. Team is $29 per editor seat per month billed annually, or $36 monthly, with the first five seats free for twelve months. Platform is $99 per editor seat per month billed annually. Enterprise is custom. Viewer seats for CISO and GRC are free on Team.

Free tier: Community tier, free.

Checked October 2026.

See our pricing

2. Swarmia

Swarmia

Engineering effectiveness platform built around team insight and working agreements.

Best for: Teams that want to improve their own habits, with the data to see whether it worked.

Strengths
  • Genuinely free for companies with fewer than ten developers.
  • Working agreements that nudge a team in chat, which teams tend to accept.
  • Developer surveys sit next to system data.
  • Published per-developer pricing, and modules you can buy on their own.
Weaknesses
  • It nudges. It does not enforce, and it will not hold a ticket.
  • Standard and Enterprise are demo-first, so the full suite still starts with a sales conversation.
  • No view on whether the work satisfies its acceptance criteria.
Pricing

Standard $45 and Enterprise $55 per developer per month, billed annually. Single modules start at $5 per developer per month. Standard and Enterprise are demo-first.

Free tier: Free for companies with up to 9 developers, with all Standard features except HRIS integrations and their AI features.

Checked October 2026.

Vendor pricing page  ·  Our full comparison

3. Jellyfish

Jellyfish

Engineering management platform. Reports where engineering time and money go.

Best for: Leaders who must show the board how engineering investment maps to the roadmap.

Strengths
  • Deep allocation and investment reporting, mapped to products and epics.
  • Benchmarks your numbers against an industry set.
  • Established product with a large customer base.
  • Modules for AI impact, developer productivity and R&D financial reporting.
Weaknesses
  • It describes the record. It does not correct it, and it does not act on a ticket.
  • No public pricing, so the first step is a sales call.
  • If your tracker data is wrong, the reports inherit the error.
Pricing

No prices on the pricing page. It says pricing is based on the number of seats and the modules selected, and asks you to talk to a salesperson for a quote.

Free tier: None published.

Checked October 2026.

Vendor pricing page  ·  Our full comparison

4. Waydev

Waydev

Engineering analytics across delivery, AI tool adoption and cost.

Best for: Teams who want analytics priced per active contributor rather than per seat.

Strengths
  • Priced per active contributor, so quiet months cost less.
  • Managers and executives are free, which keeps leadership reporting cheap.
  • Free trial and a free proof of concept before you commit.
  • Covers AI adoption alongside the usual delivery metrics.
Weaknesses
  • Every paid plan is quote-only, including the entry tier.
  • Reporting, not enforcement: it does not act on a ticket.
  • No free tier.
Pricing

Pro and Premium are per active contributor per month, billed annually, both shown as "ask for quote". Enterprise is a custom quote. Operational users such as managers and executives are free.

Free tier: None. Free trial and a free proof of concept.

Checked October 2026.

Vendor pricing page

5. Portkey

Portkey

A gateway in front of your model calls, with observability, prompt management and guardrails.

Best for: Teams building an AI product who need to control and observe the calls that product makes.

Strengths
  • A free forever developer plan, and an open source version you can host yourself.
  • Deterministic guardrails on production traffic, with custom hooks at Enterprise.
  • Role-based access, SSO and granular budget and rate limits at Enterprise.
  • Published prices, which is rare in AI infrastructure.
Weaknesses
  • It governs the calls your application makes. Your developers’ coding agents do not go through it.
  • The developer plan is explicitly not for production workloads.
  • Observability of traffic is not provenance of a change: nothing ties a log line to the commit that resulted.
Pricing

Developer is free forever with 10,000 recorded logs a month. Production is $49 a month plus $9 per additional 100,000 requests. Enterprise is custom. An open source version can be self-hosted.

Free tier: Developer plan, free forever, not for production.

Checked October 2026.

Vendor pricing page  ·  Our full comparison

6. Langfuse

Langfuse

Traces, prompt management and evaluation for the LLM applications and agents you build.

Best for: Teams shipping an LLM product who need to see and evaluate what it did.

Strengths
  • Open source, and self-hosting is free.
  • A free cloud tier with 50,000 units a month.
  • Strong tracing and evaluation for applications you build.
  • Published prices at every tier, including Enterprise.
Weaknesses
  • It observes the application you build, not the agents your developers code with.
  • No policy enforcement at the developer’s machine.
  • Traces are an operational record, not a signed chain built for an auditor.
Pricing

Hobby is free with 50,000 units a month. Core is $29 a month, Pro $199, Enterprise $2,499, each including 100,000 units. A Teams add-on is $300 a month. Self-hosting the open source version is free.

Free tier: Hobby plan, free, plus free self-hosting.

Checked October 2026.

Vendor pricing page  ·  Our full comparison

7. Faros AI, the one you already have

Faros AI

Ties AI coding spend to the results it produces, with model selection and usage policy.

Best for: Teams whose first question is what the AI tooling costs and what it returned.

Strengths
  • A free desktop version that keeps everything on your machine.
  • A self-service preview you can explore without a sales call.
  • Model selection driven by evaluations against your own code.
  • Usage policy that grows with adoption.
Weaknesses
  • Paid pricing is not published, so the commercial step is still a conversation.
  • Built around spend and adoption rather than around proof.
  • No signed per-call receipt and no tamper-evident chain to hand an auditor.
Pricing

No figures on the pricing page. A free desktop build and a free self-service preview, then a demo or sales contact.

Free tier: Free desktop version and a free self-service preview.

Checked October 2026.

Vendor pricing page  ·  Our full comparison

How we evaluated these
  • Every price was read from the vendor’s own pricing page, not from a review site, and carries its check date.
  • We have not run a controlled trial of each competitor and do not pretend to have done so.
  • We publish no testimonial, customer logo or statistic we cannot name and source.
  • Where another product is the better answer, the page names it.
  • We left DX off this list because it measures developer experience, which is a different question. It is covered in its own comparison.

Questions buyers ask

What does Faros AI cost?

Faros AI does not publish paid pricing. There is a free desktop version that keeps everything on your machine and a free self-service preview; anything beyond that is a demo or a sales conversation. Checked October 2026.

Is there a free Faros AI alternative?

Several. Swarmia is free under ten developers, Portkey has a free forever developer plan and an open source build, Langfuse is open source with free self-hosting, and Fastpace has a free Community tier.

Which one tells us what AI coding costs?

Swarmia prices an AI adoption and cost module at $5 per developer per month, Jellyfish sells an AI Impact module, and Waydev covers adoption and cost per active contributor. Fastpace records token counts per call where the runner exposes them, which is cost data as a by-product of the receipt rather than an analytics suite.

Which one does an auditor want?

A signed, tamper-evident record tied to the commit, mapped to the frameworks they name. That is the Fastpace answer, and it is not what the spend tools are built to produce.

Can we run more than one?

Yes, and most teams end up with two: something that answers the budget question and something that answers the evidence question. They read overlapping signals and produce different artefacts.

So which one should you pick?

Your loudest question is what AI tooling costsStay with Faros AI, or add Swarmia’s module at $5.
Finance wants AI impact next to the roadmapJellyfish.
You want per-active-contributor pricingWaydev.
The spend is your own product’s model callsPortkey, or Langfuse if you want open source.
Someone will ask you to prove what an agent didFastpace.

If the honest answer is us, start free.

The Community tier costs nothing, and Team starts with five free seats for twelve months.

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