Tofu
AI campaign engine that personalises B2B GTM content at scale
Overview
Tofu is an agentic go-to-market platform that generates and personalises B2B marketing campaigns - outbound, nurture, event follow-up, ABM - inside existing stacks like Salesforce, HubSpot, and Marketo. Built for growth and marketing-ops teams running many account-based plays at once.
What you can produce with Tofu
- Generates personalised campaign content across email, landing pages, and ads
- Automates outbound, nurture, event follow-up, and expansion campaign types
- Native integrations with Salesforce, HubSpot, Marketo, and Outreach
- Learns from approved and selected content to improve future generation
- Account-based personalisation at scale for enterprise segments
ASEAN Perspective
Tofu in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Tofu's pitch is narrow and useful: instead of a marketer hand-building dozens of variants of the same campaign for different accounts and segments, Tofu generates and personalises the content automatically and plugs the output into whatever CRM or marketing automation tool the team already runs. Reviewers on G2 call onboarding close to frictionless and like that the system learns from what content gets approved.
The tradeoffs show up as scale increases: some reviewers want deeper native integrations rather than relying on existing connectors, and the learning curve for setting up campaign logic isn't trivial for a new user. G2's review base is still small, in the single digits, so treat the rating as a signal rather than a verdict. A $12M Series A and reported 12x revenue growth over the past year suggest real enterprise traction, but pricing is enterprise-custom, so smaller teams should expect a sales process, not a self-serve signup.
What people say
Tofu (tofuhq.com) builds and personalises B2B marketing campaigns - outbound sequences, lead nurture, event follow-up, re-engagement, expansion plays - and ships the output into the marketing stack a team already runs, via native connectors to Salesforce, HubSpot, Marketo, and Outreach. It's aimed at growth and marketing-ops teams running account-based programs across many segments at once, not solo marketers.
On G2, Tofu Technologies carries a 4.6-star rating from a small pool of seven verified reviews. Reviewers praise how quickly it gets going - onboarding is described as close to frictionless - and how the system improves based on which generated content gets picked or approved by the team. The recurring criticism is a lack of depth in native integrations and a learning curve a few reviewers found steeper than expected when first setting up campaign logic. Campaign types on offer are specific rather than generic - outbound sequence content, lead-nurture drips, event pre- and post-follow-up, re-engagement, and expansion plays for existing accounts - each meant to be personalised per target account rather than templated once and blasted out. In its own comparison content, Tofu concedes it has a steeper learning curve and a higher price point than lighter tools like Copy.ai, an unusually candid admission for vendor-authored copy.
The company raised a $12 million Series A in February 2025 led by SignalFire, with HubSpot Ventures and Tau Ventures among the participants, and says it grew revenue 12x and platform content generation 36x over the prior year - numbers that point to real budget being committed by mid-market and enterprise marketing-ops teams, even if the public review count hasn't caught up yet.
Tofu was founded around 2021 (some funding coverage lists 2023, likely reflecting a later public launch) by EJ Cho and Honglei Liu, who both spent years building AI products at Meta and Affirm, and Elaine Zelby, who previously led marketing teams at Slack. Pricing isn't published; industry pricing trackers describe Tofu's model as a traditional annual SaaS license running from the tens of thousands into low six figures a year depending on deployment size, which puts it firmly in enterprise martech-budget territory rather than reach of smaller teams.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Tofu's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Tofu unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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