Who is Braintrust best for?

Braintrust is built for AI/ML engineers building and iterating on LLM-powered features, Product managers overseeing AI product quality and release decisions, Engineering leads at companies scaling AI applications to production, Platform/infrastructure teams managing multi-model AI deployments. Common use cases include Catching LLM regressions before production deployment via CI/CD-gated evals; Monitoring production AI for hallucinations, drift, and quality degradation; Prompt engineering and model comparison across providers.

How is Braintrust priced?

Braintrust offers three tiers. Starter is free and includes 1 GB processed data per month, 10,000 scores, 14-day retention, and unlimited users, projects, datasets, playgrounds, and experiments; overages are $4/GB and $2.50 per 1,000 scores. Pro is $249/month with 5 GB processed data, 50,000 scores, 30-day retention, custom topics, custom charts, environments, and priority support; overages at $3/GB and $1.50 per 1,000 scores. Enterprise offers custom pricing with custom data retention and export, RBAC, custom security agreements (BAA, DPA, uptime SLA), shared Slack support, and on-premises or hosted Brainstore deployment for high-volume or privacy-sensitive workloads.

What are the alternatives to Braintrust?

Common LLM Observability Evals & Gateways alternatives to Braintrust include Arize AI, Langfuse, LangChain, Confident AI, LiteLLM. See the full comparison hub at /verticals/llm-observability-evals-gateways/compare.

What do users praise about Braintrust?

Users frequently praise: All-in-one evals and observability in one workflow; Fast and intuitive UI; Trace-to-dataset one-click conversion; Strong CI/CD eval integration; Cross-team collaboration for PMs and engineers; Brainstore performance on large trace datasets; Responsive to customer product feedback; Quick time-to-value for initial setup.

What are common complaints about Braintrust?

Frequently cited limitations: Short data retention on Starter and Pro tiers; Customer support response times; No open-source or self-hosted option; Occasional platform stability and bug issues; Enterprise pricing opacity; Learning curve for advanced custom scorers.

When was Braintrust founded and where?

Braintrust was founded in 2023, headquartered in San Francisco, CA, USA by Ankur Goyal.

How big is Braintrust?

Braintrust reports 100-150 employees.

AI visibility report

Braintrust ranks #3 in LLM Observability Evals & Gateways AI search.

Outside the top three on 8 of the 25 prompts buyers actually ask.

LangChain is cited on 6 of those losses.

25 prompts

5 platforms

Updated Sep 17, 2026 - refreshed weekly

Track Braintrust daily

14-day free trial. No card required. Setup comes pre-filled for Braintrust.

Also benchmarked

Braintrust appears in another vertical

AI/ML Infrastructure & LLM Tools

Track Braintrust across these prompts daily.

Start your 14-day trial

23percent

Presence Rate

Low presence

#3 among 11 vendors · still absent from 76.8% of tracked prompt responses

Top-3 citations across 125 prompt × platform pairs

+0.60

Sentiment

-1.00.0+1.0

Very positive

#3of 11

Peer Ranking

#1#11

Above averagein LLM Observability Evals & Gateways

Key Metrics

Presence Rate

23.2%

Share of Voice

16.2%

Avg Position

#3.4

Docs Presence

4.0%

Blog Presence

0.0%

Brand Mentions

48.0%

Platform Breakdown

Google AI Mode

36%9/25 prompts

ChatGPT

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Braintrust (braintrust.dev) is an AI observability and evaluation platform founded in 2023 by Ankur Goyal and headquartered in San Francisco. Built specifically for teams shipping LLM-powered products into production, it unifies trace logging, automated evaluations, prompt management, and dataset curation in a single workflow. The platform's core architecture is built on Brainstore, a purpose-built database designed for AI-trace workloads. Its 'Instrument → Observe → Annotate → Evaluate → Deploy' lifecycle lets engineering and product teams capture every prompt and tool call in production, score outputs using LLM-as-a-judge or custom code, convert failures into test cases with one click, and gate releases with CI/CD-integrated evals. Customers include Notion, Dropbox, Replit, Coursera, Cloudflare, Ramp, Stripe, Zapier, and Vercel. In February 2026 Braintrust raised an $80M Series B led by ICONIQ at an $800M valuation.

AI visibility report

Braintrust ranks #3 in LLM Observability Evals & Gateways AI search.

Outside the top three on 8 of the 25 prompts buyers actually ask.

LangChain is cited on 6 of those losses.

25 prompts

5 platforms

Updated Sep 17, 2026 - refreshed weekly

Track Braintrust daily

14-day free trial. No card required. Setup comes pre-filled for Braintrust.

Also benchmarked

Braintrust appears in another vertical

AI/ML Infrastructure & LLM Tools

Track Braintrust across these prompts daily.

Start your 14-day trial

23percent

Presence Rate

Low presence

#3 among 11 vendors · still absent from 76.8% of tracked prompt responses

Top-3 citations across 125 prompt × platform pairs

+0.60

Sentiment

-1.00.0+1.0

Very positive

#3of 11

Peer Ranking

#1#11

Above averagein LLM Observability Evals & Gateways

Key Metrics

Presence Rate

23.2%

Share of Voice

16.2%

Avg Position

#3.4

Docs Presence

4.0%

Blog Presence

0.0%

Brand Mentions

48.0%

Platform Breakdown

Google AI Mode

36%9/25 prompts

ChatGPT

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Reviews

4.5/5G2·159+

Praised

All-in-one evals and observability in one workflow
Fast and intuitive UI
Trace-to-dataset one-click conversion
Strong CI/CD eval integration
Cross-team collaboration for PMs and engineers
Brainstore performance on large trace datasets
Responsive to customer product feedback
Quick time-to-value for initial setup

Criticized

Short data retention on Starter and Pro tiers
Customer support response times
No open-source or self-hosted option
Occasional platform stability and bug issues
Enterprise pricing opacity
Learning curve for advanced custom scorers

Public reception is positive among developer and AI engineering audiences. On G2, the platform holds a 4.5/5 rating from approximately 159 verified reviews. Users consistently praise the all-in-one combination of evals, observability, and prompt tooling; the intuitive and fast UI; the trace-to-dataset workflow; and the platform's value for cross-functional collaboration between engineers and product managers. Recurring criticisms include customer support responsiveness, short data retention windows on lower tiers, the absence of a self-hosted option, and occasional platform stability issues as the product continues to mature rapidly.

Prompt	ChatGPT	Gemini Search	Perplexity	Google AI Mode	Bing Copilot
Capability4/5 cited (80%)
Looking for an eval platform that supports automated safety and toxicity scoring on LLM outputs at scale — what are my options?	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Your brand was cited	Neither your brand nor a competitor was cited
What platforms support end-to-end tracing of multi-agent pipelines including tool calls, retrieval steps, and sub-agent spawning?

#	Brand	PresencePres.	Share of VoiceSoV	DocsDocs	BlogBlog	MentionsMent.	Avg PosPos	Sentiment
1	Arize AI	26.4%	17.5%	0.8%	4.0%	16.0%	#3.5	+0.55
2	Langfuse	24.8%	18.4%	7.2%	4.0%	62.4%	#2.7	+0.54
3	Braintrust	23.2%	16.2%	4.0%	0.0%	48.0%	#3.4	+0.60
4	LangChain	20.8%	16.2%	8.0%	0.0%	51.2%	#3.1	+0.51
5	LiteLLM	10.4%	10.1%	7.2%	1.6%	0.0%	#3.1	+0.62
6	Confident AI	10.4%	8.8%	2.4%	0.0%	15.2%	#4.0	+0.55
7	Galileo	6.4%	4.4%	0.8%	5.6%	7.2%	#3.0	+0.65
8	Portkey	5.6%	3.5%	2.4%	0.0%	19.2%	#2.9	+0.51
9	Helicone	3.2%	1.8%	2.4%	0.8%	22.4%	#3.3	+0.39
10	Traceloop	1.6%	2.6%	0.0%	0.8%	4.0%	#5.5	+0.10
11	Patronus AI	0.8%	0.4%	0.8%	0.0%	0.8%	#1.0	+0.50

Developer Experience4/5 cited (80%)
Which LLM tracing platforms make it easiest to replay a failed multi-step agent run and pinpoint exactly where reasoning went wrong?	A competitor was cited	Neither your brand nor a competitor was cited	Your brand was cited	Your brand and a competitor were cited	Neither your brand nor a competitor was cited

Integrations & Ecosystem5/5 cited (100%)
Which LLM observability platforms integrate natively with the most popular agent frameworks so traces appear automatically with no manual instrumentation?	Your brand and a competitor were cited	A competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

Performance & Reliability2/5 cited (40%)
Which LLM observability platforms stay reliable under traffic spikes from batch eval jobs running thousands of LLM calls simultaneously?	Your brand and a competitor were cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	Your brand and a competitor were cited

Braintrust ranks #3 in LLM Observability Evals & Gateways AI search.

Key Metrics

Platform Breakdown

Overview

Braintrust ranks #3 in LLM Observability Evals & Gateways AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Braintrust is not.

Where Braintrust is winning5

Where Braintrust is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Braintrust customer outcomes

Recent Trend

How AI describes Braintrust3

Most cited sources8

Alternatives in LLM Observability Evals & Gateways6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

Setup & First Run5/5 cited (100%)
What's the fastest LLM tracing platform for instrumenting a Python-based agent framework without rewriting existing code?	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Your brand was cited

Braintrust ranks #3 in LLM Observability Evals & Gateways AI search.

Key Metrics

Platform Breakdown

Overview

Braintrust ranks #3 in LLM Observability Evals & Gateways AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Braintrust is not.

Where Braintrust is winning5

Where Braintrust is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Braintrust customer outcomes

Recent Trend

How AI describes Braintrust3

Most cited sources8

Alternatives in LLM Observability Evals & Gateways6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

What does Braintrust do?

Who is Braintrust best for?

How is Braintrust priced?

What are the alternatives to Braintrust?

What do users praise about Braintrust?

What are common complaints about Braintrust?

When was Braintrust founded and where?

How big is Braintrust?