80+
B2B SaaS products we've worked on
Trusted by 80+ SaaS companies
Add AI features and make your product better
Let's add AI features to your B2B SaaS. We'll help you pick the right ones and ship them.
Trusted by 80+ SaaS companies
Hype-driven feature lists with no clear user job.
Months of build, low adoption, wasted budget.
ML hires take 6+ months and lock in fixed cost.
The market moves on before your team is ready.
Demos work, production breaks on real data.
First impression is broken output. Users churn.
Cost runs away with token usage and bad architecture.
Each new user costs more than they pay.
Senior product thinking on what's worth building, scoped to a measurable outcome.
Managed AI agents and senior developers ship the implementation, with cost and quality guardrails.
80+
B2B SaaS products we've worked on
10+
years of Product Management
4.9
stars on Clutch
From single-feature additions to agentic workflows.
Categorization, summarization, extraction, and triage.
Find answers across your documents, tickets, and product data, even when the keywords don't match.
In-product chat and recommendations grounded in your data.
Multi-step actions where the AI plans, calls tools, and reports back. With proper guardrails.
...and not generic agencies or freelancers
10+ years building products. 80+ SaaS companies. 15+ products launched. We know what works.
We focus on B2B SaaS and PLG. Complex flows, product analytics, feature adoption. This is our daily work.
Pretty screens don't matter if they don't solve problems. Like a PM, we balance desirability, feasibility, and viability.
We've worked with companies from first customers to rapid growth. Our decisions are backed by what we learned on those projects.
From feature audit to production, with cost and quality guardrails baked in.
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Senior humans audit your product and propose AI features tied to a real user job, a measurable outcome, and the data to support them.
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Model choice, retrieval strategy, evals, cost ceilings, fallback behaviour, and safety guardrails. Specced before any code is written.
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Implementation integrated with your data, auth, and stack. Prompts, retrieval, and evals reviewed by senior engineers before anything reaches your users.
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Live preview wired to a sample of your real data. You test it, we tune. Approve, we merge.
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Cost, latency, and quality dashboards from day one. We iterate on regressions surfaced by evals or users.
Production-ready AI features, with cost and quality safeguards from day one.
Magic Team A managed team of AI agents and senior humans that ships real code. Connect your repo and get features, MVPs, or bug fixes delivered as PRs, reviewed by Donux senior designers and developers.
The first step is a quick chat.
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