Early access opening soon

AI Search That
Never Leaves
Your Infrastructure

Every enterprise AI search tool on the market asks you to hand over your most sensitive data. We think that's the wrong trade-off. Act4.ai keeps everything inside your VPC.

Got it. We'll reach out when early access opens.

No spam, no newsletters. Just early access updates.

The Problem

Enterprise search has a trust problem

Your data has to leave

To use AI search today, you ship your documents, Slack messages, and source code to someone else's cloud. Every connector, every sync, every query goes through their infrastructure.

Search that doesn't get your company

Generic keyword and vector search miss the context that makes results useful. They don't know your acronyms, your org chart, or which Confluence page is actually current.

$50/user adds up fast

At $50-100 per seat per month with $50K minimums, most companies can't justify the spend. The ones that can are still locked into pricing that scales against them.

What We're Building

Search that knows your business

We're rethinking enterprise AI search from the ground up: where it runs, what it understands, and what it costs.

Your VPC, your rules

The entire data plane runs inside your infrastructure. Documents get indexed locally. Queries stay local. We never see your data, not because of a policy, but because we architecturally can't.

A semantic layer that learns

Beyond keyword and vector search. Our enrichment engine builds a map of your company's terminology, org relationships, and domain knowledge. Results improve the more your team uses it.

Lightweight by design

Five containers, around 6 GB of RAM. No Kubernetes required. Runs on a single machine or scales up as you need. Comparable self-hosted tools need 12+ containers and 26 GB just to start.

Streaming-native

Built on event-driven infrastructure, not batch jobs that run overnight. When someone updates a doc or posts in Slack, search reflects it in seconds, not hours.

Why Act4.ai

What makes this different

1

Data sovereignty by architecture

Our control plane handles configuration, updates, and analytics. It never processes or stores your content. This isn't a compliance promise you have to trust. It's how the system is built.

2

Context that compounds

The semantic layer doesn't just index your documents. It learns what "Q4 targets" means in your org, who owns what, and which information is still relevant. That understanding builds over time.

3

Real-time, not last night's snapshot

Event-driven from the start. No waiting for nightly reindexing. When your team creates or changes something, search knows about it within seconds.

4

A fraction of the cost

Self-hosted with local embeddings means your main cost is compute you already have. No per-seat fees that punish you for growing. We think enterprise search shouldn't require an enterprise budget.

We're building this now

Early access is opening to a small group of companies who care about where their data lives. If that sounds like you, we'd like to talk.

Got it. We'll reach out when early access opens.

No spam, no newsletters. Just early access updates.