PrefactorvsMaxim AIvsW&B Weave

Maxim AI vs W&B Weave: how to choose

Both cover tracing, offline and online evals, human review and prompt versioning. Maxim AI leads on simulation, including voice, and on evals that non-engineers can run from the UI; W&B Weave, now part of CoreWeave Forge, is a Python toolkit that lives next to your model training.[1][6]

support-agent v4 · one run, two layersexample
Illustrative run, showing what each layer tells you
Maxim AI / W&B Weavesee
fetch_customer212ms · 1.2k tok
apply_refund1.4s · 3.1k tok
send_reply340ms · 0.8k tok
trace recorded, no verdict
Prefactoradds
Did its job✓ yes
Quality84 / 100
Cost$0.42 · in budget
Drift vs baselinenone
✓ a run that breaches its schema is held for review
§01 / THE SHORT ANSWERtl;dr: which, and when
TL;DR

What is the difference between Maxim AI and W&B Weave?

Maxim AI is a hosted platform for simulating, evaluating and tracing agents, including voice agents, sold alongside its open-source Bifrost gateway; W&B Weave is a code-first tracing and evaluation toolkit from Weights & Biases. CoreWeave acquired W&B in May 2025, and since 30 September 2026 Weave is sold inside CoreWeave Forge. Maxim suits product and engineering teams testing before release; Weave suits teams already on Weights & Biases.

The short answer

At a glance (checked 20 October 2026)

Decision factorMaxim AIW&B Weave
OwnershipH3 Labs Inc., independent; $3M seed led by Elevation Capital in 2024CoreWeave, which completed its acquisition of W&B in May 2025; sold in CoreWeave Forge since 30 September 2026
SimulationMulti-turn text and voice simulationNot documented
Who runs evalsUI or SDK, for prompts, no-code agents and HTTP endpointsCode: Evaluation API with scorers
Run-time checksThrough Bifrost: guardrails on model and MCP tool calls (Enterprise feature)Partial: Python guardrail scorers on inputs and outputs
GatewayBifrost, Apache-2.0, self-hostableNone found
Self-hostingEnterprise in-VPC on AWS, GCP or AzureKubernetes, with a W&B Platform install and a Weave-enabled licence
Free tierDeveloper: up to 3 seats, 10k logs a month, 3-day retentionForge Free: up to 5 model seats, 1 GB Weave ingestion a month
First paid tierProfessional: $29 per seat a month, 100k logsForge Pro: from $60 a month, 1.5 GB ingestion, teams under 50 people
§02 / CAPABILITY MATRIXside by side: what each covers
Side by side

Maxim AI vs W&B Weave: capabilities side by side

CapabilityMaxim AIW&B WeavePrefactor
Observe
LLM call tracing✓✓✓
Multi-step agent tracing (tool calls, nested spans)✓✓✓
Cost tracking✓✓✓
OpenTelemetry support✓✓✓
Evaluate
Offline evals (datasets, experiments)✓✓✓
Online evals on production traffic✓✓✓
LLM-as-a-judge scoring✓✓✓
Code-based evaluators✓✓✓
Human review and annotation✓✓✓
Prompt versioning and playground✓✓—
Act on findings
Runtime controls on live agent actions✓Partial✓
Gateway or proxy in the request path✓Not stated—
Licence and deployment
Open sourcePartialPartialPartial
Self-hosting✓✓Partial
§03 / IN DEPTHdetail: the reasoning
In depth

Two vendors whose packaging changed this year

Both products now sit inside something larger. CoreWeave completed its acquisition of Weights & Biases on 5 May 2025 and on 30 September 2026 launched CoreWeave Forge, which bundles W&B Models, Weave and other CoreWeave tools; hosted W&B accounts now sign in through Forge. CoreWeave recommends Agent Lens, a separate product in public preview sharing Weave's trace backend, for agent tracing.

Read more

Maxim AI is independent, but its emphasis has moved. In October 2026 its homepage and pricing page began leading with Bifrost, its open-source AI gateway, and the evaluation platform moved under getmaxim.ai/evals. Its public changelog shows no dated 2026 entries and the newest monthly update post covers December 2025, so recent changes to the evaluation product are hard to verify. For either vendor, confirm the roadmap for the product you are buying before a long commitment.

Simulation and UI-led evals, or code-first scoring

Maxim is designed for product and engineering to test agents together. Test runs cover prompts, no-code agents and any agent behind an HTTP endpoint, from the UI or SDK, on a schedule or in GitHub Actions. Simulations play out multi-turn conversations in text or voice, with integrations for LiveKit, ElevenLabs and the OpenAI Realtime API. Evaluators include pre-built LLM judges, custom judges with your chosen model and scale, JavaScript or Python code, and API-based checks, with agent-specific ones for trajectory and tool selection. Human raters, including external raters added by email, work through annotation queues.

Read more

Weave is designed for engineers in code. You trace functions with @weave.op, run the Evaluation API over datasets with LLM-judge, function or class-based scorers, compare runs and share leaderboards. Annotation queues route selected traces to reviewers, and versioned prompts and a Playground let you compare models side by side. The TypeScript SDK lacks class-based scorers, guardrails and cost tracking.

If you are building a voice agent, or want non-engineers running test suites, Maxim covers more. If your team already lives in Weights & Biases and writes Python, Weave adds less friction.

Run-time checks and hosting

Maxim's run-time checks come through Bifrost. Its guardrails check model inputs and outputs and MCP tool-call arguments and results, and can block, redact or transform content. Maxim's pricing page lists guardrails as a Bifrost Enterprise feature, and the evaluation platform itself alerts rather than blocks.

Read more

Weave's guardrails are scorers called from Python application code that can block or modify inputs and outputs before they reach users. That needs code changes, and the TypeScript SDK does not support it. Neither vendor documents approval holds on agent actions.

Hosting options differ in shape. Maxim's in-VPC deployment on AWS, GCP or Azure can be fully isolated or a data plane peered to Maxim's cloud control plane, and is listed only on Enterprise; Bifrost's open-source edition runs on Docker, Kubernetes or as a Go binary. Weave offers multi-tenant SaaS, a single-tenant Dedicated Cloud, and a self-hosted option on Kubernetes that needs a W&B licence and platform install.

Pricing shape: seats and logs, or megabytes

As of 20 October 2026, Maxim's Developer plan is free for up to three seats and 10k logs a month with three days of retention. Professional is $29 per seat a month with 100k logs and seven days of retention, Business is $49 per seat a month with 500k logs and 30 days, and paid overage is $1 per 10k logs. Online evaluation of production logs starts on Professional.

Read more

Weave is billed through CoreWeave Forge plans. Forge Free includes up to five model seats and 1 GB of Weave ingestion a month; Forge Pro starts at $60 a month with ten seats and 1.5 GB, for teams under 50 people, with overage listed at $0.10 per MB. Maxim's short retention on lower tiers and Weave's small ingestion allowances are the limits to model first. See Maxim AI's pricing and CoreWeave Forge pricing.

§04 / THE QUALITY GAPour take: where it stops
Our take

Where Prefactor fits

We sell the layer this section describes. Read it with that in mind.

Stated plainly, since Prefactor publishes this page: Prefactor is an agent evaluation platform that scores each step of a run and acts on what it finds through runtime policies on tool calls and data access, approval holds for risky actions and a kill switch for a run, an agent or a team. Maxim's Bifrost guardrails cover model and MCP tool-call content on its Enterprise edition, and Weave's guardrails run in Python code; neither holds an action for a person to approve. Prefactor has no prompt playground or prompt registry, no voice simulation, and its platform is hosted. See the full comparison of 15 platforms.

See it on your own agents

A working session on a fleet like yours: watch a run evaluated, catch a drift, walk the record.

§05 / WHICH TO PICKdecide: by your stack
Which to pick

Which one fits

Pick Maxim AI if

  • You need multi-turn text or voice simulation before release.
  • Product owners or domain experts will run test suites from the UI.
  • You want a self-hostable gateway with guardrails on MCP tool calls.
  • Per-seat pricing with log caps suits your team size.

Pick W&B Weave if

  • You already train or track models on Weights & Biases or CoreWeave.
  • Your team writes Python and wants scorers defined in code.
  • You want versioned prompts that can link to a model registry.
  • Guardrails inside your own code are enough for your run-time checks.
§06 / HOW WE REVIEWEDsources: checked October 20, 2026
Methodology

How we reviewed this comparison

Reviewed against public product and documentation pages on October 20, 2026. If a vendor has changed a feature, product name, or positioning since then, send a correction and we will update it. Numbered source links in the page body point to the ordered sources below.

Sources reviewed

  1. Maxim AI pricingChecked 2026-10-20.
  2. Maxim AI documentation
  3. Maxim AI website
  4. W&B Weave pricingChecked 2026-10-20.
  5. W&B Weave documentation
  6. W&B Weave ownership and status
  7. Prefactor platform
Prefactor context

Methodology

  • Reviewed public product, documentation, and launch material visible at the time of writing.
  • Mapped each page to the primary buyer, control layer, and runtime capabilities each vendor describes publicly.
  • Prefer direct product and documentation pages over analyst summaries or reseller material.
§07 / QUESTIONSfaq: the common ones
Questions
What is the difference between Maxim AI and W&B Weave?
Maxim AI is a hosted platform centred on simulating and evaluating agents, including voice agents, with evals runnable from the UI and the Bifrost gateway alongside. Weave is a Python-first toolkit for tracing, scorers and evaluations that sits inside Weights & Biases and CoreWeave Forge.
How does Prefactor compare with Maxim AI and W&B Weave?
Prefactor is an agent evaluation platform for teams building AI agents: it observes every agent run from development to production, evaluates whether the agent did its job, and shows how to improve it. As of 20 October 2026, Prefactor can block or hold a live agent action; Maxim AI does too and W&B Weave does so in part. Maxim AI and W&B Weave both include prompt versioning and a playground. Prefactor evaluates how prompts perform in live runs rather than providing a prompt playground or registry.
Which is better for testing voice agents?
Maxim AI documents multi-turn voice simulation and integrations with LiveKit, ElevenLabs and the OpenAI Realtime API. Weave does not document voice simulation.
Can non-engineers run evaluations?
In Maxim, yes: test runs over datasets can be started from the UI for prompts, no-code agents and HTTP-endpoint agents. Weave's evaluations run through its SDK in code, though its Playground lets you compare prompts and models side by side.
Can I self-host Maxim AI or Weave?
Maxim's evaluation platform can run in your AWS, GCP or Azure account on the Enterprise plan, and Bifrost's open-source edition self-hosts freely. Weave self-hosts on Kubernetes with ClickHouse and S3-compatible storage, alongside a W&B Platform installation and a Weave-enabled licence.
Do Maxim AI and Weave accept OpenTelemetry?
Yes. Maxim ingests OTLP over HTTP as protobuf or JSON and reads the GenAI, OpenInference and AI SDK conventions, and can forward traces to other collectors. Weave accepts OTLP over HTTP as protobuf and reads the OTel GenAI, OpenInference and OpenLLMetry conventions.
Who owns Maxim AI?
As of 20 October 2026: Maxim AI (H3 Labs Inc.) is independent; it raised a $3M seed round led by Elevation Capital in 2024.
Is Maxim AI open source?
Partly. The Bifrost gateway and the SDKs are Apache-2.0; the simulation, evaluation and observability platform is proprietary.
How much does Maxim AI cost?
As of 20 October 2026: Developer is free for up to 3 seats and 10k logs a month. Professional is $29 per seat a month and Business $49 per seat a month. Enterprise, the only plan with in-VPC hosting, is custom.
Can Maxim AI block or hold a live agent action?
Yes, through the Bifrost gateway: guardrails check inputs, outputs and MCP tool-call arguments and results, and can block, redact or transform content. Guardrails are a Bifrost Enterprise feature.
Who owns W&B Weave?
As of 20 October 2026: CoreWeave, which completed its acquisition of Weights & Biases in May 2025. Since September 2026 W&B hosted accounts sign in through CoreWeave Forge.
Is W&B Weave open source?
Partly. The Weave repository is Apache-2.0, but self-hosting Weave needs a W&B licence and an existing W&B platform deployment.
How much does W&B Weave cost?
As of 20 October 2026: Forge Free includes 1 GB of Weave ingestion a month. Forge Pro starts at $60 a month with 1.5 GB, for teams under 50 people; the pricing page lists extra ingestion at $0.10 per MB. Enterprise is custom.
Can W&B Weave block or hold a live agent action?
Partly. Guardrails are scorers called from Python application code that can block or modify inputs and outputs. The TypeScript SDK does not support them, and there are no approvals on agent actions.
Is Prefactor open source?
Partly. Its deterministic evals package is Apache-2.0; the platform is hosted.
How much does Prefactor cost?
As of 20 October 2026: Dev is free with 5,000 spans a month. Startup is $49 a month and Scaleup $199 a month. Enterprise is custom above 4 million spans a month.
Can Prefactor block or hold a live agent action?
Yes. Runtime policies can block, throttle, sandbox or escalate an agent's tool calls and data access before they run, approval routing holds risky actions for a person, and a kill switch stops a run, an agent or a team.
Reviewed against public sources on October 20, 2026Suggest a correction

Score the run, then act on it

Prefactor scores each step of every agent run and can hold or stop an action when a score says it should not happen. Start on the free tier: 5,000 spans a month, no credit card required.

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12%Human Intervene
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$2,360Monthly Spend
Mission ControlLive agent health with 7-day activity heartbeat
Claims Proc...68
$330/moRed
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ChatGPT74
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See how every agent performs, and make it better

Prefactor helps teams observe, evaluate, and improve their AI agents in production, across every framework and provider.