About Hypertab
Hypertab is the active table where AI agents operate and humans supervise — at any scale. We sit between Supabase (backend TAM) and Clay (outbound TAM) with a single domain-agnostic primitive: smart columns that DO things.
Mission
Workflow tools (n8n, Zapier, Make) make you draw a graph for every pipeline — fine for 100 records, painful at 50,000. Spreadsheets (Airtable, Smartsheet) hold data well but cannot execute work per row at scale. Outbound-specific tools (Clay) execute beautifully but lock you into one vertical.
We think the right primitive is a table where columns themselves do work — AI prompts, HTTP calls, integrations, formulas — and where the same column kind serves any vertical. That primitive should be operable equally by an AI agent (via 47 MCP tools) and a human (via a visual UI). And it should run at the edge so latency is uniform globally.
That is what Hypertab is.
Operating principles
AI operates, humans co-operate
Every feature ships with two front doors: an MCP tool for agents and a visual UI for humans. Same data, same actions, different interfaces. We never build "agent-only" or "human-only" capabilities.
Columns DO things
A column is not just a data field. It is a per-row execution: an AI prompt, an HTTP call, a formula, a push to Salesforce. The table IS the workflow — no separate workflow graph, no canvas to drag boxes onto.
Domain-agnostic by design
Hypertab knows nothing about leads, tickets, contacts, or invoices. Intelligence comes from the agent or the human. The same primitives serve outbound enrichment, customer support automation, content moderation pipelines, anything.
Scale by default
50,000 rows × smart columns = one batch job, not 50,000 workflow executions. We built the engine to make 100K-row tables feel like 100-row tables, with cross-row parallelism, plan-gated up to 200 concurrent DAGs.
Edge-first, per-tenant isolated
Every customer gets an isolated Turso database. Cloudflare Workers handle compute globally. There is no central server, no shared database, no noisy-neighbor risk.
Honest about limits
We publish what Hypertab is bad at on the same pages we publish what it is good at. If you need free-form documents, sub-100ms transactional latency, or a relational join engine — Hypertab is not it.
Company facts
- Legal name
- Hypertab AI, Inc.
- Founded
- January 2026
- Headquarters
- Remote-first
- Stage
- Pre-seed, bootstrapped
- Contact
- hello@hypertab.ai
- Open source
- github.com/hypertab-ai
Press & media
For interviews, demos, or product reviews — email press@hypertab.ai. Brand assets (logo SVG/PNG, screenshots, founder headshots) available on request. We respond within one business day.