# How Robinhood uses AWS Bedrock

**20 percent**: “roughly a 20 percent cumulative efficiency gain in its investigative workflows”

As published on [aws.amazon.com](https://aws.amazon.com/solutions/case-studies/robinhood-case-study/). Captured by usedby on 2026-10-24.

- Company: [Robinhood](https://www.usedby.ai/companies/robinhood.md)
- Tool: [AWS Bedrock](https://www.usedby.ai/tools/aws-bedrock.md)
- Industry: [Fintech & Payments](https://www.usedby.ai/companies/industry/fintech-payments.md)
- Teams: FinCrimes, Financial Crimes Engineering, Investigations

## The use case: how Robinhood deploys AWS Bedrock

Robinhood built a FinCrimes Agent that uses LLMs running on Amazon Bedrock, including Anthropic's Claude Haiku and Sonnet and DeepSeek, to synthesize customer and transactional data into investigative summaries for financial crimes analysts. Each output is checked by validation agents and reviewed by a human investigator.

Summary written by usedby from the source page, in English. The figures are those of AWS Bedrock and Robinhood, not ours.

> With the FinCrimes Agent, Robinhood has achieved roughly a 20 percent cumulative efficiency gain in its investigative workflows. By delivering consistent, high-quality outputs, the solution has significantly reduced the time spent collecting and summarizing data.

- **80%**: “In just six months, the company scaled from 500 million to 5 billion tokens daily while cutting AI costs by 80% and reducing development time by half.”

> Using Amazon Bedrock, we feel comfortable knowing that the data isn’t leaving our control.
>
> Karthik Kenchaiah, Financial Crimes Engineering Lead, Robinhood Markets, Inc.

Source: [aws.amazon.com](https://aws.amazon.com/solutions/case-studies/robinhood-case-study/), captured 2026-10-24.

## Other AI tools used by Robinhood

- [Assembled](https://www.usedby.ai/tools/assembled.md) — Confirmed
- [Sanas](https://www.usedby.ai/tools/sanas.md) — Confirmed
- [Braintrust](https://www.usedby.ai/tools/braintrust.md) — Observed
- [Coda](https://www.usedby.ai/tools/coda.md) — Observed
- [Endor Labs](https://www.usedby.ai/tools/endor-labs.md) — Observed
- [Gem](https://www.usedby.ai/tools/gem.md) — Observed

## Other companies using AWS Bedrock

- [Adobe](https://www.usedby.ai/companies/adobe.md) — Confirmed
- [AstraZeneca](https://www.usedby.ai/companies/astrazeneca.md) — Confirmed
- [Blue Origin](https://www.usedby.ai/companies/blue-origin.md) — Confirmed
- [Blueocean.ai](https://www.usedby.ai/companies/blueocean-ai.md) — Confirmed
- [Condé Nast](https://www.usedby.ai/companies/conde-nast.md) — Confirmed
- [Cox Automotive](https://www.usedby.ai/companies/cox-automotive.md) — Confirmed

## What usedby checked

We compared the story with its live page on 2026-10-24.

- Checked: the figure 20 percent is printed word for word on the page, near the name of Robinhood.
- Checked: the passage quoted above is copied word for word from the page, near the name of Robinhood.
- Checked: Robinhood uses AWS Bedrock. Confirmed line. Latest check across sources: 2026-10-24.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/robinhood-transforms-financial-crimes-investigations-using-amazon-bedrock · How we check: https://www.usedby.ai/methodology