Tess AI
Category: AI Agents
An enterprise AI agent orchestration platform that autonomously executes complex professional tasks by orchestrating 250+ leading AI models through intelligent multi-agent workflows. Tess AI was founded in 2024. The company is led by Ricardo Barros. Based in San Francisco, California, USA. Team size: 11-50. Total funding raised: $5.0M. Latest round: Seed ($5.0M, Mar 2026). Key investors include Hi Ventures, DYDX Capital, Honeystone Ventures.
- Founded
- 2024
- Headquarters
- San Francisco, California, USA
- Team size
- 11-50
- Total funding
- $5.0M
Value proposition
Enables 'vibe-working' where autonomous AI agents execute complex tasks from start to finish without constant supervision, combined with innovative pay-for-impact pricing that eliminates per-seat costs and allows unlimited team members.
Products and solutions
Tess Agent Computer (automated presentations, dashboards, spreadsheets, research), Multi-Agent Agentic Workspace, AI Model Consensus Engine (triangulates 3 models per task), Agentic Chat (40+ autonomous operations per prompt), Custom Agent Builder (no-code agent creation), Multi-Model Orchestration Platform (250+ AI models), Collectible Memories System, Maximum Context Memory (400K tokens vs standard 32K), Integration Hub (API, Zapier, N8N, Make)
Unique value
Pioneered 'vibe-working' paradigm where AI agents autonomously execute complex multi-step tasks while humans focus on strategy. Unlike traditional chat AI requiring constant supervision, Tess orchestrates 250+ AI models to plan and deliver complete professional outputs from single prompts, enabling work to continue even with screens off. Ranked #6 global generative AI platform by G2.
Target customer
Marketing teams, content creators, product/design groups, operations/data teams, customer support, HR departments, and sales teams in SMBs to large enterprises seeking to automate complex workflows
Industries served
Marketing & Advertising, Sales & Business Development, Human Resources & Recruiting, Customer Service & Support, Product Management & Design, Operations & Data Analytics, Finance & Accounting, Content Creation & Publishing, Enterprise Software
Technology advantage
Multi-model orchestration engine creates compound intelligence by automatically selecting and combining the best models for each task type (speed, quality, multimodal reasoning, coding, research, generation). Features include AI Model Consensus that triangulates across three models, Agentic Chat supporting 40+ autonomous operations, Maximum Context Memory (400K vs standard 32K), and Collectible Memories that persist across sessions. Business model disrupts traditional SaaS with pay-for-impact pricing, enabling companies to cut 4-5 SaaS subscriptions within 6 months and save up to 90% on AI spending through centralization.
How they differentiate
Tess AI differentiates as an enterprise-ready, no-code/low-code orchestration platform that combines 250+ AI models with autonomous agent execution ('vibe-working'), unlike developer-focused frameworks. Features proprietary multi-model consensus engine, maximum context memory (400K tokens vs industry standard 32K), and innovative pay-for-impact pricing model replacing traditional seat-based SaaS subscriptions. Ranked #6 global generative AI platform by G2.
Main competitors
LangChain, CrewAI, AutoGen (Microsoft)
Key partnerships
OpenAI (GPT model integration), Anthropic (Claude model integration), Google (Premier Partner status, Gemini models), Meta (Premier Partner status, Llama models), Zapier (workflow automation platform), N8N (workflow automation), Make/Integromat (integration platform), Pipedream (API integration platform), AI Partner Program (5-tier reseller network)
Notable customers
Publicis Groupe, Maple Bear, State Grid, Grupo Profarma, Reserva (Azzas 2154), Petz, Odontoprev, Grupo Salta, Hypera
Major milestones
Spun out from Pareto Group as independent company (November 2024), Ranked #6 global generative AI platform by G2 Awards (2024), Raised $5M seed from Hi Ventures, DYDX Capital, Honeystone Ventures (March 2026), Reached 16,000+ users/professionals and executed 2.1M+ agentic tasks (2025–2026), Relocated headquarters to San Francisco Bay Area for US expansion (2026), Outperformed Manus by ~10% on GAIA benchmark (company claim), Named enterprise logos include Publicis Groupe, Maple Bear, State Grid, Grupo Profarma
Growth metrics
16K+ professionals/users on platform (official site and founder posts); 2.1M+ agentic tasks executed in 2025; serves customers in ~25 countries (80–85% still Brazil at seed); targeting ~$10M revenue in 2026; G2 rating ~4.7–4.8. 2M figure refers to agentic tasks, not users.
Market positioning
Enterprise-focused AI agent orchestration platform serving SMBs to large enterprises. Positioned between developer-centric frameworks and pure chat AI tools, offering complete autonomous workflow automation with business-user accessibility. #6 global ranking in generative AI sector, competing with established players like ChatGPT and Google Gemini.
Geographic focus
Brazilian-founded platform with ~16K users across ~25 countries (majority Brazil); HQ relocated to San Francisco for US/global expansion while retaining LatAm operations and events (e.g. Rio).
Patents and IP
No registered patents disclosed as of latest update
About Ricardo Barros
Serial entrepreneur and AI researcher with 20+ years in AI. Co-founded Pareto (2012) / Pareto Group; previously founded Leadsite, IDOJI: Algo Trading, and Diamond Like Carbon Ltda. IESE Business School graduate. Creator of Tess AI (spun out end-2024), ranked #6 generative AI platform by G2 (2024). Led Tess AI to 16K+ users and 2.1M+ agentic tasks executed in 2025; relocated with co-founders to California after $5M seed (Mar 2026).
Latest news about Tess AI
- Tess AI secured $5M seed funding led by Hi Ventures and DYDX Capital to scale its multi-model orchestration platform integrating 250+ AI models with a pay-for-impact pricing model. With 16,000+ employ
- Tess AI just raised $5M in seed funding led by Hi Ventures and DYDX Capital to expand their enterprise agent orchestration platform that integrates 200+ AI models with a "pay-for-impact" model instead
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Official website: https://tess.im