Just-in-time, curated data access

Unlock AI with faster access, and better control.

Building compliant access across disparate systems is complex and brittle. AlienGiraffe provisions data just-in-time, across data sources: aggregated, scoped, and isolated. Built natively for how AI agents work. Runs in your cloud or VPC.

The future isn't more policies, it's delivering data on demand.

AI is outrunning your data access patterns. Every agent, model, and vendor needs a different, curated view across distributed systems. But current access models were designed for humans making predictable, bounded requests. AlienGiraffe provisions just-in-time, curated data, aggregated across disparate data sources.

Aggregate data on demand

Create the exact aggregated view each AI needs, on demand

Every AI use case requires curated data. Instead of building brittle pipelines or over-provisioning access, dynamically assemble curated views across distributed sources in real time.

Just-in-time access

Give AI and vendors access without giving up control

Grant scoped, ephemeral access to data into isolated containers in your cloud, de-provisioned automatically. No credential sprawl.

Controls as a platform

Get the controls you need out-of-the-box, across data sources

Log everything from intent to query automatically. When agents ask for more data in real time, the business justification is automatically recorded, giving you a defensible audit trail.

How it works

Deploy

Deploy in your VPC. Data never leaves your environment.

Connect your data sources. Catalog them automatically using AI or configure with your own metadata.

Request

Ask for exactly what AI needs — not broad access.

Every request is scoped, policy-checked, and approved before any data is exposed.

Access

A secure, isolated container provisioned on demand.

Query via SQL, API, or MCP. Expires automatically — everything logged.

Data tunnels

Share curated data with AI Vendors, in your cloud.

With a single request, create a governed data tunnel and share it with vendors. They can access exactly what they need, in an isolated container in your cloud.

<1s

Provisioning benchmark on 2GB

<1ms

Query latency

10M+

Row benchmark

Under the hood

Deployment model

Single stateless binary deployed in your VPC — VMs, Kubernetes, or Docker. No data leaves your environment.

Data connectivity

Native connectors for Postgres, MySQL, Snowflake, Oracle, S3, SSH, and more. Extensible for custom sources.

Catalog & discovery

AI-assisted scan indexes schemas across sources. Fully configurable post-scan — override, enrich, or restrict as needed.

Request model

Declarative data requests: sources, columns, row filters, joins, masking rules. Defines the exact shape of data access.

Policy & approvals

Requests evaluated against policies and approval workflows. No standing access or over-provisioned roles.

Access interfaces

Query via SQL, API, or MCP. Same contract across all interfaces.

Data isolation

Each data request runs in its own container; no shared credentials or persistent access paths.

External access

Secure, Zero Trust Data Tunnels. No replication, VPNs or firewall changes required.

Lifecycle

Environments auto-expire and de-provision on schedule or via API. No manual cleanup required.

Auditability

Full-fidelity logs: every request, query, approval, and access path. Stream to SIEM, S3, etc.

Performance

2GB provisioned in <1s. Sub-ms queries, horizontal scaling, benchmarked on 10M rows.

AI use-cases blocked on data access?

We're running pilots to unblock specific use-cases — faster than building in-house. With the table-stakes controls you need working out of the box.

We've built data infrastructure serving F100 companies. Read more about the team.