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Nuntius

Making Models Follow Rules.

Summer 2025inactive2025Website
Artificial IntelligenceReinforcement Learning
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Report from 20 days ago

What do they actually do

Nuntius is building an AI workspace bot that lives in Slack and pulls signals from tools like Slack, Gmail, GitHub, and calendars to produce plain‑English team updates and surface or assign follow‑up tasks in chat. The goal is to replace manual status collection and “stand‑up” meetings with ongoing, readable updates inside Slack (Specter Insights, Extruct AI).

Workflow today: a team connects their accounts, Nuntius ingests messages and events, summarizes recent work into status updates and suggested tasks, and posts those updates and assignments into Slack channels while keeping context searchable for queries (Specter Insights).

The company appears to be in private pilots with design partners rather than broad self‑serve availability. Public materials are minimal, there is no published pricing, and the team is listed in YC’s S25 batch with signals of active hiring by the founders (nuntius.ai, YC company page, Specter Insights, Abhijay X).

Who are their target customer(s)

  • Engineering team leads at fast‑moving startups: They spend time chasing updates across Slack, GitHub, and email, and miss PR blockers or action items because context is scattered. A Slack bot that summarizes activity and suggests tasks helps replace repetitive standups and surface work that’s stuck (Specter Insights, nuntius.ai).
  • Product managers coordinating cross‑functional work: Dependencies and follow‑ups get lost across inboxes and chats, causing slipped roadmaps and inconsistent execution. They need concise, up‑to‑date summaries and automatic assignment of next steps (Specter Insights).
  • Customer support/success managers handling high‑volume email and chat: Triaging, escalating, and closing issues is hard when context is fragmented, leading to dropped tickets and missed SLAs. Automated summaries and surfaced actions reduce manual handoffs (nuntius.ai, Specter Insights).
  • Program/operations managers at mid‑to‑large companies: They need reliable, auditable workflows with approvals and validation before automated actions execute; mistakes cause rework and missed deliverables.
  • Security, risk, and compliance teams in regulated orgs: They are wary of model‑driven actions without explicit rules, logs, and approvals due to legal and exposure risk; they need rule enforcement and audit trails (YC company page, Stealth Startup Spy).

How would they acquire their first 10, 50, and 100 customers

  • First 10: Founder‑led, hands‑on pilots sourced via YC and startup networks with engineering leads and PMs; the team wires up integrations, manually validates model actions, and iterates closely to produce early case studies (Specter Insights, YC company page).
  • First 50: Closed beta via referrals from design partners and targeted outreach to standup‑heavy startups, offering turn‑key Slack/GitHub/Gmail connectors and onboarding templates; add a light CS/ops function to scale onboarding and convert wins into paid pilots (Specter Insights, nuntius.ai).
  • First 100: Productize rule enforcement, approvals, and audit trails, then run targeted mid‑market/enterprise sales using beta case studies and integrations; add channel partners (Slack/GitHub ecosystem, consultancies) and offer paid pilot contracts/SLAs (Stealth Startup Spy, YC company page).

What is the rough total addressable market

Top-down context:

Nuntius sits across collaboration software (~$18.2B, 2024), workflow automation (~$20.3B, 2023), and GenAI/chatbots (~$9.9B, 2025 projected). Due to overlap, a conservative global TAM for a Slack‑first workflow assistant focused on rules/guardrails is ~$20–30B (GMI – collaboration, GMI – workflow automation, FBI – GenAI chatbots).

Bottom-up calculation:

Slack is used by roughly hundreds of thousands of organizations (commonly cited: ~750,000). If 2–5% adopt at $2–10k per org per year, that implies roughly $300M–$3.75B in ARR within Slack alone, with additional upside from Teams/email‑centric orgs (Slack usage stats).

Assumptions:

  • Initial focus on Slack as the primary channel; later expansion to other collaboration platforms.
  • Adoption rate of 2–5% of reachable Slack organizations over time.
  • Average pricing of ~$2k–$10k per organization per year, varying by size and compliance needs.

Who are some of their notable competitors

  • Range: Slack‑first async standups and check‑ins that aggregate activity and share status. Overlaps on replacing daily standups but focuses on structured check‑ins versus LLM‑driven task execution or audit/approval guardrails.
  • Troopr: A Slack bot for engineering workflows with deep Jira/GitHub integrations that runs async standups and surfaces action items. Similar UX around summarizing work and tasks, but positioned as integrations/workflow app rather than a rules/guardrail platform.
  • Windmill (Windy): An AI agent that connects Slack, GitHub, Jira, and calendars to draft updates and surface blockers. Competes on “AI drafts status in Slack,” but frames itself as an AI manager/agent rather than enterprise alignment infrastructure (docs).
  • Robust Intelligence: Provides automated testing and an AI Firewall to detect prompt‑injection, data leakage, and unsafe outputs. Overlaps on guardrails/alignment infrastructure for teams needing auditable safety controls.
  • Guardrails.ai: Open‑source plus managed guardrails that enforce validation and safety checks for LLM apps in real time. Direct overlap with a roadmap focused on making models follow explicit rules with runtime guards and observability.