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Reliability platform that traces and evaluates AI agents in production · United States

ThinkHive: Revenue, sale and how it was built

Small teamExitB2BAI infrastructure

ThinkHive (Reliability platform that traces and evaluates AI agents in production, United States): Acquired by Rootly, July 2026. Evidence grade E: no revenue figure was checked. Team: 2 co-founders (Nour Alkhatib and Abdulwahab Omira); headcount at the sale not published. Launched 1 September 2024; sold 22 months after launch.Added 7 November 2026

Outcome
Acquired by Rootly, July 2026
Evidence
E no revenue figure was checked
Launch
1 September 2024
Status
Sold, 22 months after launch
Team
2 co-founders (Nour Alkhatib and Abdulwahab Omira); headcount at the sale not published
Outside funding
No outside funding round found in the sources (not verified)
Main channel
Not stated
No revenue figure

What is not verified

No sale price, revenue figure or count of paying customers was found. We read Rootly's announcement, Dealroom's news item, ThinkHive's home page, terms and privacy policy, its documentation changelog, the billing screen of its app and the npm registry. Business Wire's server did not answer our request for its robots.txt, so Rootly's press release there was not read; PitchBook answered 403, PyPI showed a bot challenge and the Internet Archive answered 429, so those were not read. The launch date rests on the changelog, whose 2024 dates disagree with the npm registry by a year. No funding round was found, but Dealroom's full profile is behind a paywall, so outside funding is not ruled out. The site still offers sign-up after the sale; whether Rootly keeps selling ThinkHive on its own is not stated. A reader could look for the Business Wire release or an interview with the founders. This story is grade E: the business is real and its product, price and customers are described from public pages, but no revenue figure was checked. Aiolum shows it as an idea worth studying, not as proof that it makes money.

ThinkHive is an observability product for AI agents. Observability means collecting enough records from a running system (logs, metrics and traces, where a trace is the step-by-step record of one request) to explain what it did. ThinkHive adds evaluation, an automatic check of whether each answer was correct, to catch hallucination (an answer the model made up) and drift (quality that falls weeks after launch because the inputs changed). It then tests a fix with shadow testing: the new version runs on real traffic in parallel, and users still get the old answers.

Rootly, the buyer, says Nour Alkhatib and Abdulwahab Omira founded ThinkHive after Alkhatib had spent weekly sessions at Instacart working out why its agents failed without any alert. ThinkHive's changelog dates its first public release to 1 September 2024, and its terms of February 2026 describe paid subscription plans billed through Stripe. Rootly announced the purchase on 28 July 2026, and the team joined Rootly to lead its work on agent reliability.

No price for the sale, no revenue and no count of paying customers appear in any source. This is a grade E story: the sale is confirmed by the buyer, but the business's size is not known.

ThinkHive: Acquired by Rootly, July 2026. Reliability platform that traces and evaluates AI agents in production, United States, team of 2 to 10, evidence grade E.
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01

How much did ThinkHive make, and what was it sold for?

Each row shows the evidence grade and the source numbers from the list at the end of this page. The grades are explained in How Aiolum verifies.

A two-founder AI agent reliability product, sold to Rootly in July 2026 for a price that was not disclosed
FactValueGradeHow we knowSources
OutcomeAcquired by Rootly, announced 28 July 2026ARootly's chief executive wrote the announcement. Dealroom reported the deal the same day.[1, 2]
Price of the salenot disclosedBDealroom: "Terms were not disclosed." Rootly's announcement gives no amount.[2, 1]
FoundersNour Alkhatib (chief executive) and Abdulwahab OmiraARootly: "ThinkHive was founded by Nour Alkhatib and Abdulwahab Omira". Alkhatib had led AI products at Instacart.[1, 2]
Team at the saleheadcount not publishedARootly writes that "the team that built it is joining Rootly" to lead its work on agent reliability, without a number. No source suggests more than 10 people.[1]
First public release1 September 2024, by the company's changelogCVersion 1.0.0, "First public release of ThinkHive". The changelog's 2024 dates may be a year early: it dates version 3.0.0 of the SDK to 30 December 2024, but the npm registry shows 3.0.0 first published on 29 December 2025.[5, 7]
Paid plansFree, Pro and Enterprise, plus credit packsCNamed in the billing screen of the app, with "Upgrade to Pro" and "Contact Sales" buttons and Stripe checkout. The terms describe recurring subscription fees charged by Stripe. Prices not read.[6, 4]
Usage billingcredit system with Stripe, added in version 2.0.0CChangelog entry dated 1 October 2024: "Credit System: Usage-based billing with Stripe integration" and "Rate limiting by tier".[5]
JavaScript SDK on npm16 versions from 29 December 2025 to 22 March 2026CPackage @thinkhive/sdk, MIT license, maintainer account abdul-omira. An SDK (software development kit) is the code library that customers add to their agent to send traces.[7]
Named teams on the home pagensave, aiXplain and Caleem under "Trusted by teams at"CNot described as paying customers and not linked to case studies. A second row, "Built with input from top AI teams at 20+ companies", shows Google, Spotify, FluidAI, Homebase and Infios. See "Trust signals" below.[3]
CompanyThinkHive, Inc.CThe terms choose the law and the courts of Delaware, United States. The headquarters city is not stated.[4]
Time from first release to the sale22 monthscalcCalculated: 1 September 2024 to 28 July 2026. If the changelog's 2024 dates are a year early, it was about 10 months.[5, 1]

How to read this table: a grade A value is stated by the buyer, Rootly, in its own announcement. A grade B value is from a news item by Dealroom. A grade C value is a statement on ThinkHive's own pages or a public registry record. A "calc" value was computed on this page. No money amount for the sale or for revenue exists in the sources.

ThinkHive plans as the billing screen of its app names them, read from the app's code on 7 November 2026 (grade C); the app loads the amounts from its server after login, so no price was read
PlanPer month, billed yearly (US$)Per month, billed monthly (US$)Limit
Free00credit-limited; the app labels it "Free Forever"
Pronot publishednot publishedmonthly or annual billing; the app shows "Save ~24%" for annual
Enterprisecontractcontract"Contact Sales"; a service level agreement may apply
Credit packsnot publishedextra credits bought in the app, priced per credit

The terms of 20 February 2026 say the service is sold as subscription plans with credit-based usage metering and that Stripe processes all payments. The app also sells extra credit packs, with a price per credit loaded from the server. A free tier is offered at the company's discretion. Enterprise customers may get a service level agreement. We found no public pricing page.

02

When did ThinkHive launch, and how did it grow?

From hand-made checks of AI agents at Instacart to a sale to an incident-management company, in about 22 months by the company's own release dates. Each entry carries its grade.

  1. Before ThinkHiveAAlkhatib leads AI products at Instacart, where agents serve millions of customers. Every week she and her team do forensic work to understand why the agents do not improve business results. That effort leads her to leave and start ThinkHive with Omira. [1]
  2. 1 September 2024CVersion 1.0.0, the first public release by the company's changelog: trace capture through OpenTelemetry, failure clustering, fix suggestions with AI, and SDKs for JavaScript and Python. A month later, version 2.0.0 adds credit-based billing through Stripe. [5]
  3. 29 December 2025CThe JavaScript SDK @thinkhive/sdk is first published on npm, as versions 2.0.0 and 3.0.0 on the same day. [7]
  4. February to March 2026CVersion 4.0.0 links agent quality to business metrics and return on investment. The terms are updated on 20 February. Version 4.1.0 adds a Guardrails API that scans content for personal data and secrets in real time. [5, 4]
  5. 28 July 2026ARootly announces that it has acquired ThinkHive. Terms are not disclosed. Rootly's own agents will run on ThinkHive's evaluation engine, and the team joins Rootly. [1, 2]
  6. 7 November 2026CThe ThinkHive site is still online with the banner "as of July 2026, ThinkHive is part of Rootly" and a "Start for Free" button. [3]
03

Why did ThinkHive work?

Four causes, in the order they mattered. Each one is a reusable lesson.

01

A problem the founder had solved by hand

Rootly's announcement says the idea came from weekly manual investigations at Instacart into agents that failed without any alert. The founders built the product for a task they had already done themselves.

02

Several signals instead of one score

ThinkHive combines metrics, traces and evaluations, and it has rule-based checks that do not use a model at all. Alkhatib said, in a quotation that Dealroom reports: "Using AI to judge AI is like asking the same student to mark their own exam." Rootly named this approach as a reason for the purchase.

03

A buyer that needed it for itself

Rootly ships AI agents into its customers' incident response. It bought ThinkHive both to check its own agents and to sell agent reliability to customers whose agents now cause incidents of their own.

How it was built

These details come from ThinkHive's documentation changelog, its site and terms, and the npm registry. They are grade C. [5, 3, 4, 7]

  • Customers add an SDK for JavaScript or Python, or send traces through OpenTelemetry, an open standard for tracing data. The site says it works with agents built on OpenAI, Anthropic, LangChain or in-house code.
  • Analysis features in the changelog: hallucination detection of 9 types, groundedness and citation scores for answers that use retrieved documents, a "Jury Mode" that combines the votes of several models, and rule-based graders for length, keywords, JSON validity and personal data.
  • An MCP server (the Model Context Protocol lets an AI assistant call outside tools) with more than 25 tools for Claude Code, by the changelog.
  • Login through Auth0 with single sign-on, redaction of personal data with 37 detection patterns, and audit logs.
  • Payments through Stripe, with use measured in credits ("credit-based usage metering" in the terms).

Tools named in the sources

Each one opens its page in the Tools tab, with every story that uses it.

04

Who tried this before ThinkHive, and why did they fail?

Two companies in our database of failed startups promised to find failures in running software and tie them to business results, and lost to larger competitors. The values below are from that database and are not independently verified.

Died 2011 to 2014Burned US$120K

Proxino

The promise

Real-time detection of JavaScript errors in users' browsers, to make debugging faster.

Why it died

Sentry and other tools offered more complete products. It did not build a developer community, had reliability problems in its own analytics, and ran short of money.

Competition
Died 2003 to 2015Burned US$112M

OpTier

The promise

Monitor billions of IT and business transactions a day and turn them into business insight.

Why it died

AppDynamics and New Relic moved faster, and it did not adapt to cloud-native systems.

Competition

The failed startups come from our database of 1,749 dead startups, retold here in our own words. Its entries are AI-assisted summaries of public sources, so these cards carry no evidence grade.

What changed

Both predecessors sold monitoring as a separate product and lost when larger monitoring companies covered the same need. The same risk was open for ThinkHive, and the outcome was different: it did not try to outgrow the large vendors but was bought by an incident-management company that needed exactly this feature for its own AI agents.

The failure it catches is also newer. A crashed server sets off every alarm, but an agent that gives a wrong answer with normal speed sets off none, so the older monitoring tools do not see it. A small team that knew this failure from inside a large company could build the checks from first-hand knowledge.

05

Can one person copy ThinkHive now?

The product, with difficulty. The path to a sale, yes.

A full agent-evaluation platform with SDKs, single sign-on and compliance features is a lot of work for one person, and the company's own comparison table lists two groups of competing tools. The path is open: solve a narrow failure that you have seen inside a large company, build it as a feature that a larger software company needs for its own AI, and that company may buy it.

Where it is still open: Checks for one kind of agent at a time: voice agents, coding agents, support agents, and agents that act inside a single business system.

  1. 1Write down a check that you or your team do by hand every week on an AI system.
  2. 2Turn it into a library and a dashboard that other teams can add in minutes.
  3. 3Combine model judges with rule-based checks, so the result does not rest on one model's opinion.
  4. 4List the software companies that ship AI agents to their own customers: they are both the buyers and the possible acquirers.

What could go wrong for ThinkHive?

The risks are the mirror image of the causes above.

What is not verified

No sale price, revenue figure or count of paying customers was found. We read Rootly's announcement, Dealroom's news item, ThinkHive's home page, terms and privacy policy, its documentation changelog, the billing screen of its app and the npm registry. Business Wire's server did not answer our request for its robots.txt, so Rootly's press release there was not read; PitchBook answered 403, PyPI showed a bot challenge and the Internet Archive answered 429, so those were not read. The launch date rests on the changelog, whose 2024 dates disagree with the npm registry by a year. No funding round was found, but Dealroom's full profile is behind a paywall, so outside funding is not ruled out. The site still offers sign-up after the sale; whether Rootly keeps selling ThinkHive on its own is not stated. A reader could look for the Business Wire release or an interview with the founders.

Trust signals on the home page

A row headed "Trusted by teams at" shows nsave, aiXplain and Caleem without saying that they are customers and without a case study. A second row, "Built with input from top AI teams at 20+ companies", shows the logos of Google, Spotify, FluidAI, Homebase and Infios; the page's screen-reader text calls them "Companies whose AI teams gave input". A row headed "Supported by leaders in business" shows Microsoft for Startups, NVIDIA, Perplexity and Anthropic, without saying what the support was. No source that we read confirms any of these relations.

Competition

ThinkHive's own comparison table places it against "Generic Observability" and "LLM Tracing & Eval Tools" without naming them. On this site, Agnost AI (monitoring for AI agents) and Kyvvu (a check on each action of an AI agent before it runs) sell to the same engineering teams.

Dependence on model providers

The changelog lists "Fix suggestions with AI" and a "Jury Mode" that combines several models, but no source names which providers' models ThinkHive itself calls. Its rule-based graders do not need a model. The OpenAI and Anthropic names on the site refer to the customers' agents that it can trace.

Sources

The grade next to each source is the best grade that the source can support. "Read in full" means that the text of the page was downloaded and the numbers were checked in it.

  1. A Rootly blog, 28 July 2026: Why Rootly acquired ThinkHive
    Read in full. The buyer's own announcement, by its chief executive. Source for the sale, the founders, the Instacart background and the team joining Rootly.
  2. B Dealroom News, 28 July 2026: Rootly buys ThinkHive to make its AI incident agents provable
    Read in full (downloaded by the pipeline on 7 November 2026). Source for "Terms were not disclosed" and the quotations of Rootly's chief executive and Alkhatib.
  3. C ThinkHive home page, read 7 November 2026
    The page is built by script, so its text was read in the site's script file, downloaded 7 November 2026. Source for the acquisition banner, the logo rows, the sign-up buttons and the supported agent frameworks.
  4. C ThinkHive Terms of Service and Privacy Policy, last updated 20 February 2026
    Read the sections on plans, payment, the free tier and governing law, in the site's script file. Source for the subscription plans, Stripe, ThinkHive, Inc. and Delaware law.
  5. C ThinkHive Docs: Changelog
    Read in full. Source for the release dates from version 1.0.0 to 4.1.0 and the features of each version.
  6. C ThinkHive app: billing screen code, read 7 November 2026
    Read the text of the billing and checkout script files. Source for the Free, Pro and Enterprise plans, credit packs and Stripe checkout. The amounts load from the server and were not read.
  7. C npm registry record for @thinkhive/sdk
    Read the version dates, the maintainer and the description. Source for the first publication on 29 December 2025 and the last version on 22 March 2026.
  8. C Database of failed startups, local export
    Local export. AI-written summaries, not independently verified. Source for the failed predecessors.

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