You need a system of action.
Agent Lake is the system of action layer. It connects your tools, governs the data, and lets your team build agents, dashboards, and automations on top — in days, not months.
You have dozens of systems of record. Zero systems of action.
Every tool holds a piece of the truth. None of them connect. Discovery, integration, governance — built from scratch, every time.
Every ungoverned deployment is a compliance risk. Without permissions, audit trails, and data provenance, scaling means scaling liability.
How it works
We connect to your existing tools — Salesforce, HubSpot, SAP, Postgres, SharePoint, and 80+ others — and build a complete map of your data: what lives where, what format it's in, and who has access.
Your data stays where it is. No migration, no warehouse project. Agent Lake creates a unified access layer so your team — and your agents — can query across every system as if it were one database.
Stand up an ops assistant, a cross-system dashboard, or an automated report — in your first week. Agent Lake handles orchestration, monitoring, and governance so your team focuses on what to build, not how to wire it.
Every action is logged. Every data access is permissioned. Role-based controls, full audit trails, and data provenance — built in from day one, not bolted on after an incident.
Agent Lake plugs into PostgreSQL, Snowflake, S3, Salesforce, HubSpot, SAP, and dozens more. Your data stays exactly where it is. We build the access layer between your systems and everything your team wants to build on top — no warehouse project, no six-month migration.
Agents, dashboards, automated reports, process automation — all from one connected data layer. No stitching together LangChain, Airflow, a vector database, and a homegrown permissions layer. Your first build ships in week one, not after a quarter of platform engineering.
Role-based access control, full audit logging, and data provenance are not add-ons — they ship with the platform. Built for regulated industries where you can't afford to figure out governance after your agents are already in production.
Use cases
Your risk data lives in one system, your compliance data in another, and your client records in a third. When the regulator asks for a cross-product exposure report, your team spends two weeks pulling it together manually. Agent Lake connects these systems so you can build agents and dashboards that generate those reports on demand.
Every day your NDA is delayed, your patent exclusivity burns. CMC data, nonclinical packages, and clinical results live in dozens of systems. Agent Lake unifies the molecule-to-market pipeline so regulatory affairs can query across the entire research lifecycle.
Production runs on one system, sales on another, warehouse on a third. Agent Lake connects them so your ops team sees the full picture — without waiting on IT.
Inventory, POS, and e-commerce each maintain their own count. Agent Lake creates a single canonical identity for every product and customer across all channels.
Patient records span three EHR systems. Claims data doesn't connect to clinical outcomes. Agent Lake unifies access across all of them — with full audit trails for HIPAA and regulatory reporting.
Your engineers are building internal data pipelines instead of the product. Agent Lake handles the plumbing so your team ships features, not infrastructure.
If your team manages more than five SaaS tools and needs to build on that data — agents, dashboards, automations — we should talk. The pattern is the same. The fix is the same.
Who it's for
Your best engineer is a search engine. Bus factor of one. 19% of the work week spent hunting for data. One resignation away from losing everything.
Three departments. Three numbers. Zero trust. Board meeting with conflicting numbers. 3-week ticket queues. $12.9M/year in poor data quality costs. Shadow analytics everywhere.
The board wants AI. Your data isn't ready. AI strategy stalled. M&A orphan schemas. 60–73% of data unused. Every audit is a fire drill.
Your role, your pain
The auditor already knows what you'll find. PII mapping outdated before the spreadsheet is finished. Risk register disconnected from reality. One missed control from a fine that dwarfs your budget.
You'll miss forecast by 30%. Again. CRM data is optimistic fiction. Real sentiment buried in Gong recordings. Reps spend 28% of their week actually selling.
You find out about SLA breaches from the client. Contracts in PDFs. Performance in tools. The two never meet. 75% of orgs can't measure end-to-end process performance.
30 days. 6-week evidence assembly. Do the math. 12 people pulled off real work. Scope grows every cycle. Full-time salaries for audit prep four months a year.
30 minutes. We'll map your current data landscape, identify what to build first, and show you how Agent Lake connects to your stack. No pitch deck. No commitment.