Funding

California-Based Actualyze AI Scores $7M in Seed Funding Round

Aug 4, 2026 | By Devin Jacobs

SUMMARY

Actualyze AI raised $7 million in Seed funding.
Actualyze AI provides an enterprise AI platform for managing and securing AI applications.
The funding will support business growth and enhance its AI platform.

Actualyze AI, a Pasadena, CA-based provider of an enterprise AI platform, has raised $7M in a Seed funding round.

The round saw the backers Storm Ventures, Canaan Partners, Morado Ventures, and Jerry Yang’s AME Cloud Ventures.

The company plans to use the fresh capital to scale operations and expand its platform capabilities.

Funding Snapshot

Metric	Details
Fundraise Amount	$7 million
Funding Round	Seed
Valuation	Undisclosed
Company	Actualyze AI
Sector	Enterprise AI / AI Infrastructure
Headquarters	Pasadena, California, US

RECOMMENDED FOR YOU

Startup News

Persistent and Kong Announce Strategic Partnership to Help Enterprises Securely Move AI

Devin Jacobs

May 26, 2026

Funding

AheadComputing Raises Additional $30M in Seed2 Funding

Startuprise

Jan 21, 2026

Funding

[Funding alert] CA-based Furno Secures $6.5Million in Seed Funding

Devin Jacobs

Mar 14, 2024

About Actualyze AI

Founded by Rafi Khardalian, Sean Lynch, Actualyze AI is building an enterprise AI infrastructure layer that allows companies to manage their use of different AI models and applications from a single platform.

The platform is designed to work with OpenAI-compatible models, AI client tools and third-party platforms, while remaining independent of individual model providers.

Core offerings include:

AI governance
Security controls
Budget management
Intelligent model routing

Core Technologies / Products / Services

Capability/Product	Application/Use Case
AI Governance Layer	Controls enterprise AI usage
Access Controls	Checks permissions for every AI request
Budget Controls	Tracks and charges AI usage to budgets
Intelligent Routing	Routes requests across model providers
Security Guardrails	Adds security controls to AI workflows

Leadership Comments

"You bet on a market this big by betting on the people who've already tamed one like it," said Sean Lynch, CTO and co-founder of Actualyze AI. "We built Actualyze because enterprises need one governed path for every AI request, and this is the team thats spent a career building the infrastructure entire businesses run through. The market is ready and so are we."

"It's clear that AI has become a new layer of the enterprise stack," said Rafi Khardalian, CEO and co-founder of Actualyze AI. "A model call looks like any other API request, a key, an SDK, an invoice at month's end, but the resemblance is the trap. The systems that govern the rest of an enterprise's request traffic can authenticate a model call and count it, but not read the prompt inside it, know if data is leaking, know the best place to route it, or charge the call to the team behind it.