The data layer for AI products

One connection lets your product and its agents read and write your customers' data across 2250+ integrations in 40 categories. The maintenance is automated, and we catch issues before your customers do. Every request passes through to the source app in real time, so no customer data is stored at rest.

40
Categories: 2250+
Integrations: 11400+
Data objects

What we do

Unified API

Read and write your customers' data in the apps they already use, with one data model per category across 40 categories, including HR & Directory, ATS, CRM, accounting, file storage and ticketing. Your customers connect their own accounts, and every request goes to the source app at request time, so your product works with live data and no customer records are kept at rest.

Unified MCP

Unified MCP makes the same integrations available to AI agents as tools. A hosted MCP server lets agents read and act on a customer's data, scoped to that customer's connection, with tool filtering and optional PII redaction. It connects to the OpenAI, Anthropic, Gemini, Cohere, Grok and Groq APIs, and to MCP clients including Claude and Cursor.

Who uses Unified.to

AI products use Unified.to for two jobs: action, with agents that read and write in their customers' systems, and context, with pipelines that index their customers' data. Customers include Telus Digital, HoneyBook, Humi, Floats and HeroHunt.

Trusted by product and engineering teams

2026 API Award: Best Business Software API (API World)
SXSW 2024 Pitch Finalist (Smart Data)
CIX 2024 Top 20 Early-stage innovative startup in Canada
DevHunt.com Product of the week (2024)

What makes Unified.to different

No stored copy of your customers' data.
Reads and writes go to the source app at request time. Connection credentials and operational metadata are encrypted at rest; your customers' records aren't stored, so reads never come from a cache that has fallen behind the source app.
Every category, on every plan.
2250+ integrations across 40 categories, all included on every published plan. The unified model is where you start: vendor fields, vendor-native query parameters and unmapped endpoints stay reachable on the same connection.
Usage-based pricing, unlimited connections.
Start with a 30-day free trial. Published plans start at $750 a month, metered on API calls, with unlimited customer connections on every plan. You don't pay more because another customer connects.
Change events where the vendor sends none.
Native webhooks are forwarded as they arrive. On supported integrations where the vendor has no webhooks for an object, virtual webhooks detect changes and deliver events at an interval you set.
A hosted MCP server for agents.
Unified MCP serves 24,000+ tools built on the same integrations. Each session is scoped to one customer's connection, with tool filtering and optional PII redaction before results reach the model.

Leadership team

Roy Pereira

CEO & co-founder

Roy Pereira is a five-time founder with two exits: CalendarHero, acquired by Vendasta, and Shiny Ads, acquired by Rubicon Project. He has spent three decades in engineering, product and executive roles.

Alexey Adamsky

CTO & co-founder

Alexey Adamsky leads engineering and architecture at Unified.to. He co-founded a data analytics company acquired by CalendarHero, then led CalendarHero's engineering through its acquisition by Vendasta.

Michelle Tomicic

Head of Sales

Michelle Tomicic leads sales at Unified.to, working with the product and engineering teams that build on it. She first worked with Roy at Shiny Ads, where she directed publisher sales, and stayed on at Rubicon Project for more than eight years after it acquired the company.

Our story

Unified.to was founded in Toronto in 2023 by Roy Pereira and Alexey Adamsky. Every company they had built before needed integrations into its customers' software, and every one lost engineering time to them: quarters spent building each one, then ongoing work keeping it running.

Building an integration is fast now. Maintaining them at scale is the harder part, and it still pulls engineers off the core product: API docs are often out of date, so an integration that works in testing can break on a real customer account, and the customer is usually first to notice. AI products also need far more of their customers' data than SaaS apps did: agents act inside CRMs, HR systems and ticketing tools, and RAG pipelines index messaging, files, knowledge bases and meeting recordings.

One connection gives an AI product authorized read and write access across every category its customers use, through the Unified API or the Unified MCP server. Requests pass through to the source app at request time, so there's no copy of customer data to go stale or to fail a security review. We've automated that maintenance, so problems surface on our side before they reach your customers.

Our mission

There's no AI without API data.

Agents are the next turn of software: they don't just answer questions, they do the work. Unified.to exists to connect them to every system that work happens in.

Why it matters

AI products need context and action across many systems. Agents read and write; RAG pipelines index.
Every stored copy of customer data is one more thing to defend in a security review.