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Formulate AI

AI-Native Organization Platform

Build the AI-native
organization.

Replace human-centric operations with coordinated agent teams — one shared context layer, vertical expertise for every department, all reading and writing to the same memory.

Revenue Team is live · Marketing live·4 more teams coming
Start freeExplore the platform

No card · 100 free FAT · First leads in 24h

Connectors

Plugged into your entire stack

Agents read from and act across the tools your teams already use — no data migration, no rip-and-replace. Governed by the same permissions you have today.

Slack
Google Drive
Gmail
Google Calendar
Notion
Confluence
Jira
GitHub
SharePoint
Salesforce
HubSpot
Zendesk
Dropbox
+ 60 more
Your data is never used to train models
Permission-awareData stays in IndiaDPDP compliantTenant-isolated

Models

Runs on the best model for the job

Formulate is model-agnostic — route each task to the frontier model that fits, and swap providers as the field moves. Your agents, your choice of intelligence.

OpenAI
Anthropic
Google DeepMind
Meta Llama
xAI
Mistral AI
DeepSeek
Cohere
Qwen
Microsoft
NVIDIA
Amazon
+ more

Agent Teams

One AI layer across your entire org.

Each team ships with a defined playbook, measurable outcomes, and a dashboard your leadership can read in 30 seconds.

RRevenue
Live
ScoutMonitors LinkedIn, Reddit, HN & YouTube 24/7 — surfaces ICP-fit conversations before your competitors see them
BriefBuilds a full company and contact dossier before every sales call — signals, talking points, recent news
PitchDrafts outreach and follow-ups in your brand voice, personalised per prospect, ready for one-click send
TrackFlags deal risk and stalled conversations, surfaces next best actions, catches churn signals early
MMarketing
Live
StrategistMaps a 30-day content calendar from ICP research and competitor gap analysis — not guesswork
AuthorWrites long-form and short-form content across every channel, in your brand voice, at scale
BroadcastSchedules, formats, and syndicates to LinkedIn, X, and newsletters — no manual steps
InsightsMeasures what resonated and what missed, so the next campaign is already calibrated before it launches
FFinance
Coming
ForecastProjects revenue and burn from your actual historical data — not a spreadsheet template somebody maintains
VigilanceReviews every transaction at scale, flags anomalies and policy violations before your auditors do
LedgerProduces MIS reports and board-ready decks on demand, in the exact format your stakeholders expect
RecoverFollows up on overdue receivables with the right tone and timing — without your team chasing manually
HHR & Talent
Coming
DiscoverScans job boards and LinkedIn at depth, scores candidates against your rubric before a human reads one CV
CalibrateEvaluates every application against the actual role criteria — structured, consistent, bias-reduced
CompassDelivers personalised day-one packages, sends the right resources at the right time, tracks completion
EngageReads the engagement signals that typically precede resignation — weeks before someone decides to leave
OOperations
Coming
SentinelWatches operational KPIs around the clock and alerts the right person the moment something drifts
DispatchReads every incoming request — support, vendor, compliance — and routes it to the right queue instantly
ResolveHandles routine requests end-to-end; hands off complex ones with full context already written up
RefineIdentifies the 20% of processes causing 80% of delays and proposes what to fix in what order
EEngineering
Coming
GuardReviews every pull request for security gaps, performance regressions, and architectural violations
TraceDiagnoses production errors to root cause in minutes, with a remediation plan attached
ChronicleKeeps technical documentation in sync with every code change — without anyone remembering to update it
ShieldWatches release health metrics in real time, initiates rollback before users report an issue
Team 1 of 6·Live now

Revenue Team — pipeline while you sleep.

Your ICP is on LinkedIn, Reddit, and HN every day — describing pain, asking for tools, discussing budget. The Revenue Team monitors it all, builds dossiers, drafts outreach, and tracks your deals.

Marketing now live · Finance, HR, Operations, Engineering coming soon.

The problem

Your team is too busy to monitor every channel and respond at the right moment. Every warm lead you miss is runway you're burning.

What this team does

✓Monitors LinkedIn, Reddit, HN, YouTube & web 24/7
✓Builds prospect dossiers before every call
✓Drafts personalised outreach in your brand voice
✓Tracks deal health and flags churn signals early
4 agents in this team
ScoutMonitors LinkedIn, Reddit, HN, and YouTube 24/7 — surfaces ICP-fit conversations in real time
BriefBuilds a full dossier before every sales call — company, contact, recent signals, talking points
PitchDrafts personalised outreach and follow-ups in your brand voice — ready for one-click send
TrackMonitors deal progression, flags churn signals, and surfaces the next best action
Try Revenue Team freeBook a demo →

Research & Architecture

Built on research that
most AI vendors skip.

Ant Colony agent learning and Microsoft Research’s SkillOpt are not experiments here — they run in production on every customer deployment.

Ant Colony — Proprietary

Agents that learn from each other.

Every Formulate agent shares structured signals across the team — what approaches are working, what is failing, which prospect types convert. When the Scout finds that a specific ICP keyword produces 3× better signal, that learning propagates to the Pitch agent immediately. Agents collectively optimize over time, the same way ants find the shortest path without a map. No manual tuning. No prompt engineering. The team improves on every run.

24 agents
sharing signals in real time

SkillOpt — Based on Microsoft Research

Agents that rewrite their own playbooks.

Every Formulate agent maintains a skill document — a structured description of how to execute its core tasks. After each run, the platform automatically analyzes what worked and what failed, then updates the skill document to reinforce successful strategies and deprecate failing ones. Based on Microsoft Research's SkillOpt methodology, agents that started at baseline improve 40–60% within 30 days of deployment, without anyone touching a prompt.

40–60%
performance gain in 30 days
Read the research →

Nyas — Memory Layer

One memory, shared across every agent.

Nyas is the long-term memory layer that sits below every agent team. It stores what worked, what the customer context is, and what each agent has already tried — so agents never start from scratch. RAG P99 latency under 300ms. Data never leaves India. DPDP compliant, tenant-isolated, private deployment available.

<300ms
RAG retrieval P99
Read the research →

This is not off-the-shelf GPT wrappers. Ant Colony and SkillOpt are running on every customer team today. The agents your Revenue department uses this week will outperform the ones they used last week — automatically.

Request architecture deep dive

Early operators

Trusted by teams
going AI-native.

Ankit Rawat
14qualified leads in 2 weeks
AR

Growspace M2M

IoT · Machine to Machine · Bangalore

“

We were doing IoT demos and sending proposals manually — our BD team spent the first half of every day just researching prospects and writing follow-ups. Scout changed that overnight. By the end of week two, we had 14 qualified IoT leads tracked in one dashboard. Brief had full company context ready before every call. We closed two pilots in month one. I stopped thinking of Formulate as a tool and started thinking of it as a member of the team.

Ankit Rawat

Founder, Growspace M2M

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Pricing

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₹1,999/mo
5,000 FAT / month
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₹4,999/mo
15,000 FAT / month
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Enterprise
Custom
SSO / SAML · SLA
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Monthly billing · Cancel anytime · Annual discounts available on request

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Your org runs on people. It could run on agents.

Revenue Team and Marketing Team are live now. Four more departments ship this quarter. Start with 100 FAT free — no card, no sales call.

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No credit card · 100 free FAT · First results within 24 hours

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