Finding the first repeatable market for AI infrastructure
Example company: Aveniq AI
The opportunity
A seed-stage AI founder has a strong product and too few qualified conversations. Investor introductions create interest, but no repeatable motion. MarketAtlas turns three buyer hypotheses into focused experiments, so the founder can learn which use case earns a meeting—and which market deserves the next hire.
What improvement could look like
Illustrative 90-day scenario. Example figures, not measured customer results.
- Qualified calls / month
- Before: 4Modeled: 24
- Positive reply rate
- Before: 3%Modeled: 12%
- Research time / account
- Before: 24 minModeled: 3 min
First, define the segment.
- Who we build for
- Seed-stage AI infrastructure company · 14 people
- Who we reach
- Heads of ML and platform engineering at SaaS companies putting AI features into production.
How the playbook works
- 01 / Segmentation
Find the use case worth testing.
In setup calls, reverse-engineer the strongest early conversations. Separate production AI teams, platform teams, and AI-native companies by workload, urgency, and buying authority. Give each segment its own qualification rules before building any outreach.
- 02 / Origination
Find teams moving AI into production.
Custom research workflows combine product releases, public technology signals, ML hiring, and licensed company data. Score accounts for workload fit and active deployment needs, then verify the technical owner and the evidence behind each match.
- 03 / Engagement
Start with their technical bottleneck.
Reach the engineering owner with a specific observation about latency, evaluation, or inference cost. Agents prepare the research and follow-ups; a market engineer reviews the fit and keeps founder-led discovery focused on the right conversations.
- 04 / Offer
Test the reason to take a call.
Compare a workload review with a scoped technical benchmark. Adapt the message and proof to each segment, then iterate from positive replies and real objections—not email opens.
- 05 / Optimization
Turn every call into a sharper hypothesis.
Connect replies, discovery notes, and accepted opportunities to the CRM. In weekly founder sessions, compare segment conversion, refine the scoring model, and put more effort behind the use case showing repeatable demand.