Google Ads
Meta Ads
LinkedIn Ads
GA4
HubSpot
Salesforce
Pipedrive
Stripe
Zendesk
Intercom
Jira
PostgreSQL
Snowflake
BigQuery
Databricks
Redshift
SAP
Oracle
NetSuite
Xero
QuickBooks
Data to AITM
Serve governed business data to Claude, ChatGPT and other AI tools over MCP.
Private pre-release
Free during pre-release
Copilot
Copilot
AI DestinationDataddo is the complete business data layer for Copilot - turnkey. It doesn't just connect Copilot to your business data; it delivers curated metadata, sensitivity classification, and security guardrails so every answer stays grounded, governed, and safe. No pipelines to build.
DATA TO AI
Salesforce
Dynamics 365
Pipedrive
HubSpot
Mailchimp
Klaviyo
Google Ads
Meta Ads
LinkedIn Ads
TikTok Ads
SAP
Oracle
NetSuite
Xero
PostgreSQL
MySQL
Snowflake
BigQuery
Databricks
Redshift
Google Sheets
Amazon S3
CSV / SFTP
Dataddo
Claude
Gemini
OpenAI
Mistral
Perplexity
Grok
From your business systems to any AI, governed end to end
Business systems
CRM, marketing, advertising, ERP, finance, support, databases, files
CRM & sales
Salesforce
Dynamics 365
Pipedrive
Marketing
HubSpot
Mailchimp
Klaviyo
Advertising
Google Ads
Meta Ads
LinkedIn Ads
TikTok Ads
ERP & finance
SAP
Oracle
NetSuite
Xero
Databases & warehouses
PostgreSQL
MySQL
Snowflake
BigQuery
Databricks
Redshift
Files & spreadsheets
Google Sheets
Amazon S3
CSV / SFTP
400+ connectors
Extract
Dataddo
SmartCache
query-ready store
Extracted data is landed, deduplicated and kept fresh - so agents query a stable store instead of hammering live business systems.
Built-in guardrails
PII hashing & masking
Sensitive fields are hashed at ingest - the model never sees raw identifiers
Data quality firewall
Schema, freshness and anomaly checks block bad records before they reach the cache
Access policies
Row and column level permissions decide what each agent may retrieve
Full audit trail
Every model query is logged - who asked what, and what was returned
Business context via metadata
Table & column descriptionsBusiness glossaryMetrics & definitionsRelationshipsLineage & freshness
The model learns what a table means, not just what columns it has.
MCP
LLMs & agents
Connect over MCP - no custom pipeline per model
Claude
Gemini
OpenAI
Mistral
Perplexity
Grok
What the model can do
- Answer business questions from governed, current data
- Explore metrics without a hand-built pipeline per model
- Stay inside policy - nothing ungoverned is reachable
Governed data in · trusted answers out
WITH VS. WITHOUT
The same data, a very different result
Point Copilot at the same CRM data - deals, tickets, contacts, and companies:
| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| Business context & relations | The model sees raw tables and field names. It has to guess what each field means and how deals, tickets, contacts, and companies relate - often getting the joins wrong. | Every field ships with a plain-language definition and its relations across deals, tickets, contacts, and companies, so the model knows the schema before it reads a single row. | Answers grounded in your real business |
| Freshness & quality signals | No way to tell whether a record is current or reliable. Stale or incomplete data is treated the same as fresh, trustworthy data. | Each field carries freshness timestamps and quality metrics, so the model can weight or flag data instead of trusting everything equally. | Decisions on data you can trust |
| Token consumption | High. The model burns tokens exploring the schema, sampling rows, and retrying until it understands the data. | 50-90% lower. The context is supplied up front, so the model skips the exploration and goes straight to the answer. | 50-90% less token spend |
| Processing time | Slow. Most of the run is spent on discovery, data wrangling, and disambiguation before any real analysis begins. | Much faster. With the groundwork already done, the model spends its time answering, not exploring. | Answers in seconds, not minutes |
| Model tier & cost | Needs a frontier model to reason through raw, unlabeled data - the most expensive option per query. | Smaller, cheaper models handle the same questions, because the hard reasoning about structure is already solved. | Money saved on cheaper models |
| Answer quality | Prone to wrong joins, hallucinated fields, and ungrounded numbers that are hard to catch. | Grounded, consistent answers tied to defined fields and real relations. Harder to measure, but the difference shows. | Answers you can actually rely on |
HOW IT WORKS
Everything between your data and Copilot is already built
1
Connect a source
Choose from 400+ connectors - databases, warehouses, and SaaS apps - and authorize in a few clicks.
2
Dataddo prepares the data
Automatic quality checks, PII controls, and business metadata are applied on the way through.
3
Copilot retrieves on demand
Your assistant queries governed, ready-to-use data over the open MCP standard - with no warehouse in between.
CAPABILITIES
Built for feeding AI, not just moving rows
No infrastructure
No warehouse or data lake to provision or pay for - Dataddo takes care of it, with 400+ ready-made connectors available out of the box.
Guardrails built in
Data Quality Firewall in blocking mode, PII exclusion, and column hashing (md5 / xxh3) before data ever reaches the model.
Business metadata
Dataset and field descriptions give the AI semantic grounding, with sensitivity flags on the fields that need them.
Historical data
Time-aware retrieval through configurable write strategies, so the AI can reason over change, not just the latest snapshot.
Freshness you can trust
Extraction timestamps and stable natural keys make it clear how current each answer is.
Works with your AI
Copilot and other clients connect over the open MCP standard - no proprietary lock-in.
SECURITY & GOVERNANCE
Your data stays yours
Permission model
Control exactly which datasets and fields each client can reach.
Blocking-mode quality rules
Records that fail your rules are stopped before they reach the model.
Deterministic hashing
Hash identifiers with md5 or xxh3 so data can be joined without ever being exposed.
USE CASES
What your team can ask on day one
| Use case | What you can ask | Typical connectors |
|---|---|---|
| Marketing performance | Ask what you spent and what it returned across every ad platform - no dashboard to open first. | |
| Revenue & pipeline | Surface at-risk deals, forecast changes and pipeline movement from live CRM and billing data. | |
| Support & product copilots | Ground an assistant in current tickets and operational data, so answers reflect what is happening now. | |
| Analytics in plain language | Let anyone query governed warehouse data in plain language, with permissions enforced by Dataddo. | |
| Finance & operations | Answer finance and ops questions spanning ERP and accounting systems from one place. |
Pricing
See all plans and features →
Free during private pre-release.
Data to AI™ is free while in private pre-release. We onboard teams in waves and shape the product with their feedback. At launch, it will be priced like the AI assistants your team already uses. Need tailored contracts or volume pricing? Talk to us about Enterprise.
Connect your sources to Copilot
Marketing sources
Finance and RevOps sources
FAQ
Frequently asked questions
Do I need a warehouse to use Copilot with my data?
No. Dataddo serves data to Copilot directly from SmartCache, so you can start without provisioning a warehouse or lake. If you later need one, the same platform delivers to BigQuery, Snowflake, and Databricks.
What is MCP?
MCP (Model Context Protocol) is an open standard for connecting AI clients to external data and tools. Copilot uses it to retrieve governed data from Dataddo on demand.
Can I control what Copilot can access?
Yes, completely. You define exactly which datasets and fields are exposed, and that definition is deterministic and under 100% your control. Copilot can only reach what you have explicitly published - nothing else is reachable.
Where is my data hosted? Can I choose the region?
You can. Dataddo runs across 64 global hosting locations, so you can keep data in the region your policies require. For the most security-aware data, Dataddo can also be deployed on-premise, so the data never leaves your own environment.
Is my data encrypted?
Yes - we encrypt everything, in transit and at rest, across the whole pipeline.
Is data access logged?
Yes. Every query and data access is logged, giving you a full audit trail of who asked what and what was returned.
Is my data used to train models?
Dataddo is a data pipeline, not a model provider - it moves your data, it does not train on it. Whether Copilot retains or trains on the data you send is governed by your agreement with its provider, so review their terms for specifics.
Which sources are supported?
400+ sources, including databases, cloud warehouses, and hundreds of SaaS APIs. If something you need is missing, you can request it.