Your data is scattered across tools, and its meaning gets re-explained on every question. Celync captures it once — what each data source is, where it came from, when it refreshed, and what it's for — so your team and your agents read from one understood context layer.
We talked to 80 data teams in three months. The same six sentences came back, almost word for word. Here they are.
My system doesn't have a connector.
Fivetran has ~400 connectors. There are tens of thousands of APIs. The moment you use a niche CRM or internal system, you're on your own.
Current tools cost too much and still break.
Per-connector pricing, enterprise sales motion, and schema drift that still breaks your syncs. You're paying a premium for a fragile system.
My AI tools grab data inconsistently.
Claude, Cursor, and Copilot MCP into source systems ad hoc. That's a band-aid. They need a reliable, curated layer to read from — not your prod database.
The data exists, but I can't trust it.
The same metric calculated three different ways across three dashboards. No ownership. No certification. No way to know which dataset is canonical.
Data engineering takes too long.
You have the business context to build a great dataset. You're blocked waiting on an engineer who has a queue of ten other priorities.
I just want to move data from A to B.
Simple data movement shouldn't require a data engineering hire, a $2k/mo SaaS contract, and two days of setup. It should take an afternoon.
Forge is where pipelines are built and watched. Tap is where everything reads from. Source systems on the left only ever talk to Forge.
Most ETL tools give you a fixed catalog of connectors and a roadmap promise for everything else. We generate connectors on demand — paste an API spec, a docs URL, or describe the system in plain English.
The answer is never "we don't support that."
Tap is an MCP server. Point Claude, Cursor, Copilot, or your own agent at it — they get current, queryable data with the context to use it correctly: what it is, who owns it, how fresh it is, and what it's for.
+18.4% WoW, Team flat at ±0.5%, Free declining −6.2%. The Pro lift starts the week of Apr 21 — that aligns with the onboarding revamp shipping.Forge is for engineers and agents managing pipelines. Tap is for anyone — humans or AI — that needs to read from clean data.
Build pipelines from a sentence. Watch them in plain English. Approve fixes from the same place.
customer_locale. Adding to BigQuery as STRING, back-fill 30d.Browse certified datasets with ownership and freshness. Query them. Or expose them to your AI tools as MCP.
Forge watches every pipeline, detects schema drift, proposes a fix, and ships it after your approval — or auto-ships under rules you set. The on-call rotation moves from "data engineer" to "nobody, usually."
We're onboarding a small group of design partners. Join the waitlist and we'll reach out as we open more capacity.
Join the waitlist and we'll reach out as we open more capacity. No sales call. No drip. One short email when we're ready for you.