Hightouch
Composable CDP and agentic marketing platform that runs always on AI agents directly on a company's data warehouse to personalize and execute campaigns.
Hightouch is the leading Composable Customer Data Platform and Agentic Marketing Platform, letting brands run always on AI agents directly on top of their data warehouse rather than copying customer data into a separate system. Founded in 2019 in San Francisco by Segment alumni Kashish Gupta and Tejas Manohar, who serve as co chief executives, with Josh Curl as chief technology officer, the company pioneered reverse ETL and rode it into a Series D of one hundred fifty million dollars in April 2026, led by Growth Equity at Goldman Sachs Alternatives and Bain Capital Ventures at a two point seven five billion dollar valuation, with ICONIQ, Sapphire Ventures, and The Trade Desk also participating. It crossed one hundred million dollars in annual recurring revenue in 2025, has grown more than one hundred percent for two straight years, and is a Gartner Magic Quadrant Leader for customer data platforms.
The platform reads from warehouses like Snowflake, Databricks, and BigQuery, then activates that data to more than two hundred destinations across advertising, email, SMS, and web without duplicating it into a vendor database. On top of that foundation sits an enterprise context layer of customer data, brand knowledge, creative assets, and channel performance that grounds its agents. AI Decisioning uses a reinforcement learning approach where marketers set a goal, guardrails, and approved content, and per customer agents then choose the channel, timing, and message that move each person toward higher lifetime value, running experiments and feeding the results back into the context layer. Ad Studio and Lifecycle Studio generate on brand creative, and a model context protocol integration lets agents running in Claude, ChatGPT, or Gemini tap Hightouch directly.
Hightouch reports syncing more than seven trillion records and powering more than ten billion AI decisions, with customers including Domino's, Spotify, DraftKings, Ramp, PetSmart, and Whoop, and more than one thousand one hundred enterprises overall. Because it runs warehouse native, data governance and residency stay anchored in the customer's own cloud, though every activation still copies data out to destination tools. For an enterprise that already invests in a data warehouse and wants agents to research audiences and execute personalized campaigns around the clock on trusted data, Hightouch is a category leading option; a small team without a mature warehouse or that wants a bundled all in one CDP will find the warehouse native model a heavier prerequisite.
Vendor details
Canonical URL
https://hightouch.com
Category
GTM / revenue agent
Subcategory
Composable CDP and agentic marketing
Funding status
Independent, headquartered in San Francisco, founded in 2019 by Segment alumni Kashish Gupta and Tejas Manohar, who are co chief executives, with Josh Curl as chief technology officer. Raised a one hundred fifty million dollar Series D in April 2026 led by Growth Equity at Goldman Sachs Alternatives and Bain Capital Ventures at a two point seven five billion dollar valuation, following an eighty million dollar Series C in February 2025 at a one point two billion dollar valuation led by Sapphire Ventures. Crossed one hundred million dollars in annual recurring revenue in 2025 with more than one hundred percent growth for two consecutive years, serves more than one thousand one hundred enterprises, and is a Gartner Magic Quadrant Leader for customer data platforms.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Reads from data warehouses including Snowflake, Databricks, and BigQuery and activates audiences to more than two hundred destinations such as Salesforce, HubSpot, Braze, Klaviyo, Google Ads, and Meta. Works with dbt for modeling, exposes a Personalization API and Hightouch Events, and ships a model context protocol integration so external agents in Claude, ChatGPT, or Gemini can call Hightouch.
In practice
Your customer data lives in Snowflake but activating it for marketing means copying it into yet another CDP and waiting on data engineering. Hightouch syncs audiences straight from the warehouse to more than two hundred destinations with no duplicate database.
Your team hand builds rigid campaign rules that never keep up with each customer. AI Decisioning lets you set a goal and guardrails, then agents personalize channel, timing, and content for every individual and optimize toward lifetime value.
Performance marketers keep running out of on brand creative. Ad Studio generates ads and emails grounded in your brand assets and data so campaigns never stall for lack of content.
Sources & related URLs
Research sources
Research notes
Added via Crunchbase agentic discovery CSV, enriched full fidelity 2026-07-07.
Capability coverage
12.0 / 14 capabilities · 86%
| Integrations & Tool CallingReads from Snowflake, Databricks, and BigQuery and activates data to more than two hundred destinations such as Salesforce, HubSpot, Braze, Klaviyo, Google Ads, and Meta, Hightouch docs 2026-07-07 | Full |
|---|---|
| Workflow OrchestrationHandles the full loop of audience building, journey orchestration, cross channel launch, measurement, and feeding learnings back into the next decision across advertising, email, SMS, and web, Hightouch docs 2026-07-07 | Full |
| Knowledge Grounding & RAGAn enterprise context layer of customer data, brand knowledge, creative assets, and channel performance grounds the agents in each brand's unique context on top of the warehouse, Hightouch docs 2026-07-07 | Full |
| Human Oversight & GuardrailsMarketers set the goal, guardrails, and approved content the agents may use, and agents execute within those enterprise guardrails rather than acting freely, Hightouch docs 2026-07-07 | Full |
| Security, Identity & GovernanceWarehouse native design keeps governance and data in the customer's own cloud without a duplicate profile store, with GDPR alignment and enterprise controls, Hightouch docs 2026-07-07 | Full |
| Observability & AuditabilityAgents automatically run experiments, measure performance, and surface insights into what is working for different cohorts, closing the loop with visible measurement, Hightouch docs 2026-07-07 | Full |
| Memory & State PersistenceAgents are grounded in complete brand, customer, and campaign history and feed learnings from each experiment back into the persistent context layer over time, Hightouch docs 2026-07-07 | Full |
| Deployment & Data ResidencyRuns warehouse native so activation data stays anchored in the customer's own cloud, but the platform control plane is cloud SaaS with no on premise or self hosted option, Hightouch docs 2026-07-07 | Partial |
| Prebuilt Agents, Templates & PacksShips packaged agentic products including AI Decisioning, Ad Studio, and Lifecycle Studio out of the box rather than requiring teams to build agents from scratch, Hightouch docs 2026-07-07 | Full |
| Triggers & Channel CoverageAlways on agents proactively find opportunities twenty four seven and execute across advertising, email, SMS, push, in app, and web channels, Hightouch docs 2026-07-07 | Full |
| Model Flexibility & RoutingPositions the stack as a warehouse plus an AI of the customer's choice plus Hightouch, and its model context protocol integration lets agents in Claude, ChatGPT, or Gemini call the platform, Hightouch docs 2026-07-07 | Full |
| APIs, SDKs & MCP ExtensibilityExposes a Personalization API, Hightouch Events, a model context protocol server, and more than two hundred destination integrations with self serve configuration, Hightouch docs 2026-07-07 | Full |
| Testing, Debugging & OptimizationAgents run automatic marketing experiments and optimize campaigns, but this is campaign level optimization rather than a dedicated agent testing, evaluation, or debugging surface, Hightouch docs 2026-07-07 | Partial |
| Browser & Computer UseExecutes through warehouse queries and destination integrations rather than driving a browser or operating a computer interface, Hightouch docs 2026-07-07 | Unable to verify |
Pricing
Free reverse ETL tier; self serve paid from around one thousand dollars a month; Composable CDP and AI Decisioning quoted through sales
monthly active syncs, events, and AI actions
What is public
Free and self serve reverse ETL tiers are published, with paid self serve around one thousand dollars a month, while Composable CDP and AI Decisioning pricing is quoted through sales.
Billing mechanics
Two layers: a license baseline sized to expected usage plus usage meters for monthly active syncs, events, and AI actions, with no charge for seats, stored profiles, or tracked users.
Cost watchouts
Every activation copies data to destination tools, so heavy multi destination use expands both cost and the compliance surface even though the platform is warehouse native.
Variable cost rationale
Usage based pricing scales with monthly active syncs, events, and AI actions, and each sync also runs a warehouse query, so total cost rises with activation volume and can carry per sync overage and reverse economies of scale on renewal.
Additional watchouts
Warehouse compute for each sync sits outside the license, per sync overage applies above allocation, and reducing syncs can raise the per sync rate through reverse economies of scale.
Sales call required
Mixed (some tiers require a call)
Free / trial
Free plan with two active syncs; self serve paid tiers available
Key ambiguities
The agentic products that place it in the index, Composable CDP and AI Decisioning, do not publish list rates and require a sales quote.
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