Formulate AI

What Formulate AI does

Formulate AI provides an AI operating system for organizations to become AI-native. They build enterprise AI agent platforms, RAG infrastructure, and developer tooling. Their stack includes Nyas (AI-native infrastructure and database layer), Agent (AI workers connected to knowledge and workflows), Context (persistent memory across AI tools and teams), and Vibe CTO (production-ready technical judgment). They help startups and enterprises move beyond isolated AI agents to deploy production-ready AI systems, offering solutions for various departments like Revenue, Marketing, Finance, HR, Operations, and Engineering. Their platform emphasizes data sovereignty, tenant isolation, and model-agnostic deployment.

Products

• NyasAI-native infrastructure and database layer, serving as the memory of the entire company, managed Postgres + pgvector + S3.
• AgentAI workers connected to your knowledge and workflows, enabling autonomous AI agents for various departments.
• ContextPersistent memory across AI tools and teams, providing a shared brain for company knowledge, user context, and decisions.
• Vibe CTOProduction-ready technical judgment before you ship, offered as fractional CTO-as-a-service for AI-first startups.
• Formulate RAGPrivate multi-tenant RAG API for adding document intelligence to products or organizations with isolated knowledge bases per tenant/department.
• Formulate Agent TeamsPrebuilt agent teams for specific business functions like Revenue, Marketing, Finance, HR, Operations, and Engineering.

Key capabilities

• AI-native infrastructure and database layer (Nyas)
• Autonomous AI workers (Agent)
• Persistent memory across AI tools and teams (Context)
• Production-ready technical judgment (Vibe CTO)
• Private multi-tenant RAG API
• Model-agnostic deployment (supports OpenAI, Anthropic, Google DeepMind, Meta Llama, xAI, Mistral AI, DeepSeek, Cohere, Qwen, Microsoft, NVIDIA, Amazon)
• Data sovereignty and tenant isolation
• DPDP compliant
• BYOC (Bring Your Own Cloud) option
• Human-in-the-loop review for agent actions
• Measurable outcomes and dashboards for leadership
• Integration with existing tools (Slack, Google Drive, Gmail, Google Calendar, Notion, Confluence, Jira, GitHub, SharePoint, Salesforce, HubSpot, Zendesk, Dropbox, +60 more)
• Customizable brand voice and rules for agents
• Cited answers for enterprise AI search
• Workflow automation across teams

Use cases

• Deploying AI agent teams for various departments (Revenue, Marketing, Finance, HR, Operations, Engineering)
• Automating sales pipeline generation (Scout, Brief, Pitch, Track agents)
• Automating marketing content creation and analysis (Strategist, Author, Broadcast, Insights agents)
• Financial forecasting, anomaly detection, and receivables chasing (Forecast, Vigilance, Ledger, Recover agents)
• HR and talent acquisition, onboarding, and retention (Discover, Calibrate, Compass, Engage agents)
• Operational KPI monitoring, request routing, and task automation (Sentinel, Dispatch, Resolve, Refine agents)
• Engineering code review, error diagnosis, documentation sync, and release monitoring (Guard, Trace, Chronicle, Shield agents)
• Adding document intelligence and Q&A to SaaS products for customers (B2B2C)
• Enabling secure and isolated document search for different departments within an enterprise (B2B)
• Enterprise AI search across various data sources with cited answers
• Automating cross-team workflows and request handling
• Building institutional knowledge systems for AI teams

AI approach

Formulate AI provides an AI operating system for organizations, deploying AI agent teams for various departments (Revenue, Marketing, Finance, HR, Operations, Engineering). It uses a model-agnostic approach, routing tasks to the best frontier model available (OpenAI, Anthropic, Google DeepMind, Meta Llama, xAI, Mistral AI, DeepSeek, Cohere, Qwen, Microsoft, NVIDIA, Amazon). The platform includes Nyas (AI-native infrastructure and database layer), Agent (AI workers), Context (persistent memory), and Vibe CTO (production-ready technical judgment). They also offer a private multi-tenant RAG API for document intelligence and enterprise search. They emphasize building AI infrastructure and agent workflows, with a focus on data sovereignty and tenant isolation.

Tech named: Nyas, Agent OS, RAG Engine, pgvector, Postgres, S3, OpenAI, Anthropic, Google DeepMind, Meta Llama, xAI, Mistral AI, DeepSeek, Cohere, Qwen, Microsoft, NVIDIA, Amazon, AWS Bedrock, Azure OpenAI

Industries served

• Healthcare
• FinTech
• SaaS
• IoT
• Insurance
• Universities
• Large conglomerates

What it says sets it apart

• Built AI infrastructure since 2020, before the hype cycle
• Focus on moving AI prototypes to production systems
• One AI layer across the entire organization with shared memory
• Tenant-isolated architecture and data sovereignty (DPDP compliant, data stays in India)
• Model-agnostic design, allowing routing tasks to the best frontier model
• BYOC (Bring Your Own Cloud) option for running the stack inside customer's VPC
• Native isolation at the pgvector layer for multi-tenant RAG, not just filters
• Compliance-ready for regulated industries (HIPAA, RBI/SEBI, SOC 2 Type II)
• Human and agent teams operate as a single workforce
• Compounding leverage where each agent feeds the next, building an intelligence layer
• Fast integration for RAG (two API calls, live in 72 hours)