May 16, 2025

Nimble Named One of Microsoft Build’s 2025 Top 12 AI Startups

Microsoft calls Nimble “the startup that bakes real-time web data into your AI” — Here’s why that matters for web-scale retrieval.

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Uri Knorovich

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Nimble Named One of Microsoft Build’s 2025 Top 12 AI Startups

Microsoft just revealed the 12 startups hand‑picked for its Top AI Startups 2025 cohort at Microsoft Build—and Nimble is on the list! 🎉

You can read the full announcement on Microsoft’s LinkedIn post here. Being selected puts us alongside innovators such as Faros AI, Qodo, Howso, BRIA AI, and Galileo—solutions that are reshaping everything from SDLC automation to multimodal intelligence.

Here’s Why This Matters for Web‑Scale Retrieval

For us, this recognition highlights a simple truth: AI can’t reach its full potential without deep, up‑to‑the‑minute context from the open web.

Below, we break down why Microsoft chose Nimble, how our agentic pipelines go far beyond traditional search, and where you can see live demos at Build 2025.

The Problem: Fast Search ≠ Full Context

Search APIs (Bing, Google, Exa, etc.) are brilliant for returning a handful of documents in sub‑second latency, but they deliberately avoid anything that slows them down. They fall short with:

  • No interactive sessions (log‑ins, filters, pagination).
  • No JavaScript rendering at scale.
  • No table extraction or SQL‑ready output.

That’s fine for quick fact checks. But it’s fatal if you need to monitor 120,000 SKUs across four e-commerce marketplaces and 42,000 ZIP codes, or track real‑time pricing and promotion shifts for 1300 CPG products sold by 150 retailers. LLMs end up “hallucinating” because they only see a slice of the evidence, never the full picture.

Nimble’s Answer: Agentic Web Pipelines

Nimble spins up tens of thousands of headless‑browser agents that behave like tireless interns working to extract accurate, relevant data. They:

  1. Interact: Log in, click filters, paginate, fill forms.
  2. Extract & Normalize: Capture hundreds of data points per page.
  3. Structure: Auto‑map into live SQL tables with lineage.
  4. Serve: Stream data to Azure Synapse, Snowflake, Databricks, or straight into your RAG pipeline.

Example

120 000 SKUs × 4 marketplaces × 42 000 ZIPs once took 76 days and > $18 k in cloud costs. Nimble finishes the job in 4 hours for < $1 k—and refreshes hourly.

That’s why Microsoft’s AI team calls Nimble:

"The startup that bakes real-time web data into your AI."

Why Microsoft Picked Nimble for the Top 12

What Microsoft Looks For How Nimble Delivers
Complements Azure AI stack Data lands in Azure SQL, Fabric, or Delta Lake as ready‑to‑query tables.
Drives developer velocity One recorded session becomes a reusable pipeline; no custom scrapers needed.
Unlocks new use‑cases Retail shelf analytics, CPG promo compliance, ESG audits, & dynamic competitive tracking.
Scales responsibly Custom Chromium fork + WASM acceleration keeps compute and cost under control.

Where to Find Us at Microsoft Build 2025

When What Where
Wed @ 2:00 PM Lightning Talk: “From Search to Agentic Retrieval” Theater B, Expo Hall
Thu @ 11:00 AM Live Demo: Real‑time digital‑shelf tracker (20 B pages → 4 hours) Booth #A12
All week 1‑on‑1 deep dives, architecture white‑boarding Startup Zone lounge

Need a VIP pass to a private exec roundtable? DM us or ping your Microsoft rep and we’ll get you on the list.

Call to Developers & Data Scientists

If you’re…

  • Building an LLM agent that has to work a website, not just read a website…
  • Are tired of cleansing HTML before you can even run a JOIN…
  • Looking to merge Bing’s instant discovery with deep, structured facts…

…then Nimble is the missing data layer in your stack.

Ready to See Deeper?

Stop scraping snippets. Query the entire web and get data that’s fully structured and constantly fresh.

Catch us at Build 2025—or reach out today to spin up your first Nimble pipeline.

See you in Seattle!

—The Nimble Team

FAQ

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