Startup profile for Cresta: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.

Startup profile · funding coverage

Cresta funding, valuation and investors

Real-time AI coaching and automation for contact center agents.

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Series D

$125M · November 2024

Latest known valuation

Not publicly disclosed

Total disclosed equity funding

$125M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

private

growth · Palo Alto, California

Investors in latest funding

Lead: WiL

Other: Greylock Partners , Sequoia , Tiger Global , Andreessen Horowitz

Sources: latest funding Last verified: 2026-07-25

Overview

Cresta provides real-time AI guidance to contact center agents — suggesting responses, surfacing knowledge, and automating routine tasks during live customer conversations. Founded by Stanford AI researchers including Sebastian Thrun affiliate network, Cresta raised a $125M Series D in November 2024 led by WiL and QIA with Greylock, Sequoia, Tiger Global, and a16z returning. Customers include Fortune 500 brands in telecom, finance, and retail seeking to improve agent productivity and CSAT.

Why Cresta is interesting

Cresta applies foundation-model AI to high-volume sales and support conversations — Greylock, Sequoia, and Tiger joined a16z through Series D as contact centers become AI's clearest enterprise ROI.

Product & use cases

Cresta listens to live agent-customer conversations and surfaces real-time suggestions, automates note-taking, and identifies coaching opportunities — integrated with major CCaaS platforms.

  • Real-time agent assist during sales and support calls
  • Automating after-call work and CRM updates
  • Manager coaching dashboards based on conversation analytics

Key facts

  • Series D (Nov 2024): $125M led by WiL and QIA; Greylock, Sequoia, Tiger, a16z (Cresta press)
  • Greylock led seed/Series A; Sequoia led Series B
  • Founded by AI researchers from Stanford ecosystem

Funding history (newest first)

Investors in our directory

Funds linked from Cresta's profile — open a fund page for stage focus and related deal articles.

Competitive landscape

Edge: Conversation-specific AI trained on contact center data — not generic copilots — with deep CCaaS integrations.

Contact center AI is a proven enterprise category with measurable ROI (AHT, CSAT, conversion). Cresta competes with point solutions and CCaaS-native AI. Moat comes from conversation data flywheel and enterprise integrations.

  • Observe.AI direct

    Contact center conversation intelligence; overlapping agent-assist.

  • Balto direct

    Real-time guidance for call centers; similar buyer persona.

  • Google CCAI incumbent

    Contact Center AI from Google Cloud; bundled with CCaaS.

  • Gong adjacent

    Revenue intelligence for sales; less real-time agent assist focus.

Notable stories

  • Cresta emerged from Stanford AI research applying reinforcement learning to human-agent collaboration — the thesis that AI should augment agents in real time, not replace them (company origin story).

Industries

AI & Machine Learning Enterprise SaaS

FAQs about Cresta

Practical answers founders, operators, and investors typically search for.

Real-time AI coaching for contact center agents — suggestions, knowledge surfacing, and automation during live calls.
Greylock (/fund/greylock-partners), Sequoia (/fund/sequoia), Tiger (/fund/tiger-global-management), and a16z (/fund/andreessen-horowitz) participated through Series D.
Both target contact centers; Cresta emphasizes real-time agent assist vs. post-call analytics.
November 2024 — $125M.
Fortune 500 brands in telecom, finance, and retail — specific logos on cresta.com.
Not publicly disclosed.
No — augments agents with real-time suggestions and automates routine tasks.
Palo Alto, California.
No.
Growth/Series D stage.

By Venture Capital Tracker

Last updated:

Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.