Pitch document — the full narrative behind the investor deck, in print form.
One Agentic is the first AI workspace where VC teams see what they're actually investing in — not just what's easy to find. Funds run structured due diligence configured around how they actually invest, with NEO, the product's AI agent, doing the hours of research work in minutes.
Faisal is a VC analyst in Riyadh — two years at an early-stage fund, sharp, ambitious, and the first screen for every deal that comes in.
A proper first pass takes hours per deal — founder background, market sizing, claim verification. At 200 deals, that's months of work compressed into weeks. Triage by gut feel is the only option left.
Depth depends on who ran the check and how busy the week was. References are curated by founders. Network gaps decide what gets verified. The process rewards who you know, not how carefully you look.
Conversations he started go quiet — not from carelessness, but from arithmetic. Here is what changes with an AI analyst at his side:
| Faisal today | Faisal at 10× |
|---|---|
| ~20 deals get a real look | Every inbound deal screened |
| Red flags found only if time allows | Red flags surfaced automatically, with sources |
| Quiet gems slip past the funnel | Promising outliers ranked into view |
| Founders left waiting | Every founder gets an answer |
One Agentic is an AI workspace where VC teams run structured due diligence — configured around how each fund actually invests. Not a decision engine: Faisal directs every step; NEO does the hours of work in minutes.
Each fund encodes its investment thesis — stage, markets, team signals, exclusions. Every deal is evaluated against that lens, not a generic checklist.
NEO enriches every deal automatically: founder background, company context, market signals, public records — synthesized into a structured, sourced output.
When independent sources tell different stories about the same fact, the product flags it explicitly, with sources. NEO flags; the investor decides.
LLMs crossed the quality bar. Synthesizing unstructured data from many sources into a trusted diligence output needed reasoning quality that wasn't there two years ago. It is now.
Founder data is more accessible than ever. Public signals, social footprints, court records, company filings — the raw material exists and is growing. No one has built the synthesis layer for VC.
Deal cycles are compressing. Funds that move faster without losing depth have a real edge — and they know it. Willingness to pay for speed is measurable and growing.
Specific beats generic, right now. After two years of generic AI tools, investors are ready for purpose-built. Domain-specific wins over impressive-but-broad.
The Analyst — Faisal. 1–3 years in, spends 40–60% of time on research. Becomes a daily user because the product makes him sharper in partner meetings and faster on triage.
The Partner. Reviews deals, relies on analyst output. Uses the product to gut-check, not to grind. Needs to trust the output before relying on it in a partner meeting.
VC funds, angels, accelerators, and corporate VC — sized bottom-up from the pricing model. All figures derive live from the pricing config.
Beachhead: KSA & MENA — one of the fastest-growing venture ecosystems globally — then North America and Western Europe. All figures derive live from the pricing model at optimistic segment counts.
Usage-based credits shared across the whole fund — priced from measured production costs, not guesses. Measured production sessions vary ~40× in cost, so flat per-seat pricing can't survive: credits track real consumption, and unused credits roll forward.
| Tier | Price / mo | Fit |
|---|---|---|
| Micro | — | Solo GP / scout fund |
| Seed | — | Classic seed fund |
| Mid | — | Active early-stage fund |
| Established | — | Full early-stage team |
Unit economics: gross margin ~86% at 7.1× markup on measured API cost. Overage credits are the expansion lever. Self-serve first; an Enterprise tier follows with SSO, API access, and a dedicated CSM.
Every competitor stops at the boundary we start from. None are built around the full diligence workflow.
| Competitor | What they do | Our edge |
|---|---|---|
| Harmonic | Best-in-class sourcing; Scout AI maps markets and researches founders. ~$25–30K/yr. | Finds deals. We evaluate them. |
| Affinity | Dominant CRM; deep relationship intelligence. "Diligence" = organizing what your team already knows. ~$10–13.5K/yr (5 seats). | Tracks the relationship. We evaluate what's behind it. |
| Attio | Modern CRM, growing AI layer. No founder research, no risk synthesis. ~$1,740/yr (5 seats). | Manages pipeline. We produce diligence depth. |
| Clay | GTM enrichment + Claygent; tech-forward analysts build their own version. No VC-specific product. | DIY. We deliver purpose-built, out-of-the-box. |
| AlphaSense / PitchBook | Enterprise-grade, $15–50K+/yr. Built for LP reports and large-fund research. | Purpose-built for early-stage, 10× more accessible. |
| ChatGPT / Claude / Perplexity | The ambient alternative. No structure, no proprietary data, no persistent deal context. | We win on structure, consistency, and trust. |
Reasoning across independent sources to find what doesn't align — active cross-referencing, not aggregation. Every deal we run sharpens it.
A general model can research a founder. It can't do it through the lens of a seed-stage investor running a thesis-driven fund. We encode how great investors think.
Fast first-pass output changes which deals get a look. A two-person fund can evaluate every inbound deal — and no founder gets ghosted.
Every deal evaluated with the same depth, same questions, same signals — regardless of who ran it or how busy the week was.
The defensible combination: every deal generates proprietary signals only we hold — workflow features alone can be copied; this loop can't.
Advisors & Backers: [Add advisor names, VC firm affiliations, notable angels or existing commitments.]
SAR 3.75M Pre-Seed. Instrument: SAFE.
18 months runway: ~60% engineering, ~20% data coverage & licensing, ~20% GTM.
KSA's venture ecosystem is the ideal beachhead — concentrated deal flow, lean fund teams, and direct access to the exact funds, accelerators, and CVC units we're built for.
Mohamed Baddar · CEO & Co-Founder, One Agentic · baddar@oneagentic.us