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Your best engineers aren't building the product. They're building internal data pipelines, writing ETL scripts, maintaining a Frankenstack of Airflow DAGs, custom connectors, and a homegrown permissions layer that one person understands. You hired them to ship features. They're shipping plumbing. And the backlog of "just connect X to Y" requests from the data team is growing faster than your sprint velocity can absorb it.
The average software company uses 110+ SaaS tools (Productiv, 2023). Each one generates data. None of them agree on customer identity, event schemas, or timestamps. Your data team is the bottleneck — every cross-system question becomes a ticket, every ticket becomes a pipeline, every pipeline becomes a maintenance burden.
Tool sprawl means your engineers toggle between 9–12 tools per day (a16z). Internal data requests take 3+ weeks from ask to answer. And the "quick script" someone wrote to sync Salesforce with your product database? It broke three months ago. Nobody noticed until a customer did.
Your systems of record are multiplying. Your system of action is a Slack thread that starts with "hey, can someone pull this data for me?"
Stripe and Harris Poll found that developers spend 42% of their time on maintenance and technical debt — not new features. For a 50-person engineering team at $200K loaded cost, that's $4.2M/year spent on plumbing.
Retool reports that 30% of engineering time goes to building internal tools. Your data team's ticket queue is a 3-week SLA that nobody trusts, so product managers build shadow analytics in spreadsheets. You're paying senior engineer salaries for junior plumbing work.
Every custom connector is a liability. Every internal pipeline is a maintenance commitment. Every week your engineers spend on plumbing is a week your competitors spend on product.
One connected data layer across every SaaS tool, database, and internal system. Your data team stops being a bottleneck — product managers, ops leads, and AI agents query across the full stack with permissioned access.
No more ETL scripts. No more custom connectors. No more Frankenstack. Your engineers go back to building the product.
30 minutes. We'll map what's broken, show you what to build first, and connect Agent Lake to your stack.
Talk About Software30 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.