We help founders cut through AI hype, identify what's worth building, and ship a production AI feature within 90 days — without burning runway on the wrong bets.
We run a structured engagement that respects your runway and gives your team a roadmap they can execute on without us holding their hand.
Product and market context workshop
AI opportunity mapping across your stack
Prioritized roadmap with effort/impact scoring
Vendor and tooling recommendations
90-day build plan with milestones
Clear AI roadmap aligned to your funding runway
Avoid costly over-engineering in early stages
Ship a working AI feature in your first sprint
AINinza's startup consulting is designed for speed without sacrificing quality. Week 1-2 — AI opportunity assessment: we evaluate your product, data, and market position to identify the highest-impact AI feature that your existing data can support. Week 3-4 — Technical scoping: architecture design, model selection (build vs API vs fine-tune), data pipeline requirements, and infrastructure planning.
Week 5-8 — MVP development: a working AI feature integrated into your product, tested with real users, and ready for beta launch. Week 9-12 — Iteration and scaling: performance optimization based on user feedback, monitoring setup, and documentation for your team to maintain and extend the AI capability independently. AINinza has helped 80+ startups across Series A to Series C ship their first AI-powered features, with an average time-to-first-value of 6 weeks.
The most expensive mistake startups make with AI is building from scratch when an API would suffice — or relying on an API when the competitive moat requires proprietary models. AINinza's decision framework helps founders make this call. Use APIs (OpenAI, Anthropic, Google) when the AI capability is a feature, not the product — fast to ship, low upfront cost, but limited differentiation. Fine-tune existing models when you need domain-specific behavior that APIs can't provide — moderate investment, strong differentiation, and you own the resulting model.
Build custom models when AI is your core IP and you have sufficient training data — highest investment, strongest moat, but only justified when data volume and uniqueness warrant it. For most startups, AINinza recommends starting with APIs, validating product-market fit, then progressively investing in proprietary AI as the business scales.
Traditional consulting firms charge $300-500/hour, deliver PowerPoint strategies, and leave startups to figure out implementation. AINinza works differently. Our startup engagements are outcome-based — we don't bill for workshops that produce reports, we deliver working AI features. Our team has startup DNA — engineers who have built AI products at early-stage companies and understand the constraints of limited runway, small teams, and rapid pivots.
Pricing is structured for startup budgets with milestone-based payments tied to deliverables, not time-and-materials billing that incentivizes slow delivery. And unlike firms that disappear after the engagement, AINinza provides 30 days of post-delivery support to ensure smooth handoff to your team. The result: 80+ startups served, 92% on-time delivery rate, and multiple clients who have gone on to raise subsequent rounds citing their AI capabilities as key differentiators.
Strategic AI consulting that uncovers automation opportunities and delivers adoption plans.
Learn moreTailored AI solutions built for your unique business needs — from ML models to intelligent copilots.
Learn moreEvaluate AI readiness — data maturity, infrastructure, and team capabilities for your AI journey.
Learn moreTell us about your product and stage — we'll come back with a prioritized AI roadmap that fits your team size and runway.
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