Okibi

What do they actually do

Okibi is a web app that lets non‑technical teams build autonomous “AI coworkers” by describing what they want in plain English. From that description, Okibi generates a working agent with a visual workflow, suggested tool integrations, optional human‑in‑the‑loop steps, and an initial evaluation so users can review and tighten the flow before putting it to work (Okibi, YC company page, Skywork review).

In practice, users start with a template or from scratch, write a plain‑English brief (for example, prospect research plus a tailored email), and Okibi builds the step‑by‑step flow that includes tool calls, browser actions, conditionals, and human checkpoints. The platform runs a first pass evaluation and exposes the flow for edits, guardrails, and approvals before deployment (Skywork, YC company page, Medium walkthrough).

Early reported uses include sales prospect qualification and outreach, invoice generation and ledger updates, pre‑meeting prep, and proposals/pricing generated from notes and contracts. The team says they are trialing with early customers, including multiple YC startups (the YC page cites “working with 15 YC companies”). There’s a free tier to get started; enterprise pricing isn’t publicly listed yet (YC company page, Business Insider Demo Day summary, Skywork review).

Who are their target customer(s)

• Sales reps / SDRs: They spend hours researching contacts and drafting personalized emails. They want to automate prospect lookup and email drafting without waiting on engineering support (Okibi templates, Medium walkthrough).
• Finance or accounting ops: Invoice handling and ledger updates are repetitive and error‑prone. They need safe, low‑risk automations with clear checkpoints and logs to trust in production (YC company page, Skywork review).
• Product managers and analysts: Pre‑meeting prep and ad‑hoc analysis require pulling data from multiple tools and manual synthesis. They want quick, reliable summaries and metric pulls without constant spreadsheet work (Okibi templates, Skywork review).
• Operations / Revenue‑ops leads: They maintain internal automations but lack bandwidth to implement integrations, monitoring, and human‑in‑the‑loop safeguards for reliable, auditable workflows (YC launch material, Skywork review).
• Early‑stage founders and small teams: They prototype agentic features quickly but struggle to convert prototypes into production‑safe automations due to unclear enterprise governance, pricing, and scaling details (Business Insider, YC company page, Skywork review).

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

• First 10: Run high‑touch pilots via the founders’ network and YC intros. Offer done‑for‑you setup of the first agent, an initial eval, and a tweakable flow using existing templates to show immediate value (Okibi templates, YC company page, Skywork review).
• First 50: Publish short case studies and ready‑to‑run templates for SDRs, finance ops, and PMs; host live demos/webinars; and do targeted outbound to RevOps/Sales/Finance teams that can adopt without engineers (Okibi templates, Skywork review).
• First 100: Shift to self‑serve plus light sales: expand the free tier and template gallery with guided onboarding and simple billing; add listings/partnerships in relevant SaaS marketplaces; use a small sales/CS team to close larger or enterprise pilots (Okibi homepage, YC page, Business Insider).

What is the rough total addressable market

Top-down context:

Okibi sits at the intersection of workflow automation and no‑code/low‑code AI. The workflow automation market is estimated at about $23.8B in 2025, while no‑code development platforms are around $35.6B in 2025; adjacent RPA spend was ~$3.8B in 2024 with rapid growth projected (Mordor Intelligence, TBRC, Grand View Research).

Bottom-up calculation:

Focusing on initial ICPs (SDR/RevOps, finance ops, PM/analytics) in SMB–mid‑market: assume 150,000 target teams globally adopt 2 agents on average at ~$100/agent/month. That implies roughly $360M/year in reachable spend for Okibi’s early product fit (150k × 2 × $100 × 12).

Assumptions:

• Initial focus is SMB–mid‑market teams (not the entire enterprise automation market).
• Average 2 agents per adopting team at ~$100 per agent per month.
• Adoption limited to teams with simple, human‑checkpointed workflows rather than high‑risk or fully automated processes.

Who are some of their notable competitors

• Langflow: Open‑source, low‑code builder for agentic/RAG apps with a visual flow editor and many integrations—used by developers to design and deploy AI agents without heavy boilerplate.
• Flowise AI: Open‑source visual tool to build LLM agents and workflows. Emphasizes drag‑and‑drop composition and quick deployment for chatbots, tools, and multi‑step flows.
• CrewAI: Multi‑agent framework and platform for building and orchestrating agent teams with tooling for deployment and monitoring—targets production‑grade, multi‑agent use cases (CrewAI, Docs).
• Zapier: Popular no‑code automation platform for connecting apps and automating tasks. While not LLM‑first, it’s a default choice for non‑technical teams to automate simple workflows.
• Microsoft Power Automate: Enterprise‑grade workflow/RPA platform integrated with Microsoft 365 and Copilot/AI features—often the incumbent in larger organizations for approvals, data moves, and bots.