# How FloQast uses TrueFoundry

**4 million requests**: “the gateway processed more than 4 million requests across chat completions, responses, embeddings, and MCP calls”

As published on [truefoundry.com](https://www.truefoundry.com/case-studies/floqast-case-study). Captured by usedby on 2026-10-06.

- Company: [FloQast](https://www.usedby.ai/companies/floqast.md)
- Tool: [TrueFoundry](https://www.usedby.ai/tools/truefoundry.md)
- Industry: [Accounting & Audit](https://www.usedby.ai/companies/industry/accounting-audit.md)

## What the story says

FloQast routes all of its LLM traffic across multiple model providers and regions through the TrueFoundry AI Gateway. It also uses the gateway for MCP server and agent tool management, security guardrails, per-feature cost tracking, and storing prompts and traces in its own cloud infrastructure.

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

> By centralizing on TrueFoundry, FloQast turned a complex multi-provider, multi-region AI footprint into a single governed platform.

- **98.9%**: “maintaining a 98.9% success rate on model traffic”
- **~53ms**: “Over 90 days the gateway evaluated 80K+ guardrail checks while adding only ~53ms of average latency”
- **139K**: “The MCP gateway handled 139K tool calls across servers like playbook, transform, FDM, and JEM, at an average latency of 389ms”
- **3.73M**: “Intelligent routing directed 3.73M requests through virtual-model routing rules with a routing failure rate near 0.04%.”

> Most definitely it's been a huge game changer. Reliability was our key concern when looking for a gateway. The fact that everything can be stored within our own infrastructure, so we keep our own data-governance rules for traces and prompts, plus a centralized point for observability and pricing data and coverage on security best practices it's been really helpful.
>
> Colin Sidberry, Software Engineer

## What usedby checked

We compared the story with its live page on 2026-10-06.

- Checked: the figure 4 million requests is printed word for word on the page, near the name of FloQast.
- Checked: the passage quoted above is copied word for word from the page, near the name of FloQast.
- Checked: FloQast uses TrueFoundry. Confirmed line. Latest check across sources: 2026-10-06.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/floqast-truefoundry · How we check: https://www.usedby.ai/methodology