Services Business Modernization & Agentic Transformation Agentic Product Strategy & Analytics
From roadmap to working prototype to the numbers that prove it — in the same week.
Product teams already use AI every day; most organizations haven't turned that into a product function that runs differently. We help established companies adopt agentic product and analytics workflows — discovery and research synthesis, prototypes instead of documents, experimentation, and analytics agents that answer from governed data — with tools chosen for fit and configured to your security commitments, so product leaders spend their time on strategy and customers rather than paperwork.
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Agentic product strategy and market analytics is a product function where AI agents carry the operational load — synthesizing research and feedback, drafting requirements, building working prototypes, running and reading experiments, and answering analytics questions from governed data — while product managers set strategy, make trade-offs, and talk to customers. Four in five product managers already use AI daily; one in four has a strategy for it, and data access and quality is the biggest blocker. Adoption closes that gap: a semantic layer so analytics agents fail loudly instead of confidently, prototypes that replace documents, tools chosen for fit, and configuration aligned with your security commitments.
YSecurity has no relationship with any vendor — no resale margins, no referral fees, no partner tiers, no certification quotas to hit. A relationship like that would compromise our ability to show up as your true partner, so we don't have one. We recommend only the very best technologies and services for your workflows, your data, and your security commitments — and when a free, open-source tool beats a seven-figure platform for your use case, that's exactly what you'll hear from us.
Interview synthesis, feedback clustering, competitor and market tracking, and requirements drafting run by agents from your research repository and approved sources — with citations, so product managers verify rather than re-read.
Working prototypes on real data replace long documents. We set up the tools, component context, and review loops so product, design, and engineering iterate on the same living artifact — and decisions get made on something you can click.
Text-to-SQL agents on a raw warehouse produce plausible wrong answers. We stand up governed metrics — a semantic layer, access controls, tested definitions — so analytics agents answer the board's questions correctly or say they can't.
Customer data, experiments, and roadmaps stay inside approved environments with least-privilege access. We choose tools for fit, with no vendor relationship shaping the pick, and configure them to your security commitments from day one.
Tell us about your product organization — team size, stack, where the paperwork lives. We return an initial estimate of dollars saved, speed gained, and time to modernize.
We inventory workflows, data sources, and security commitments, choose the tools that fit, and pilot agentic discovery, prototyping, and analytics on a live initiative with the product managers who own it.
Our operators embed to roll adoption across teams, keep governed metrics and agent context current, and tune tools as they change. Our hours scale down as your fluency scales up.
Cyberbase and Ceed run discovery, prototyping, and analytics through agents — that is how two founders operate two software companies without an engineering team.
The website you're reading, our blog research, our podcast production, and our client delivery playbooks now run on agentic workflows our own operators built and supervise. The partners who once wrote every page by hand now review what agents draft — and spend the hours they got back with clients.
About the team →Cyberbase is our business-to-business deal acceleration platform — security questionnaires, contract redlines, and compliance reviews. Today it runs with zero engineers. Product, infrastructure, and security are built and operated through agentic engineering, supervised by the founders.
cyberbase.ai →Ceed runs the money side of a services firm — hours, client budgets, invoices, payouts, and the month close. It has never had an engineer. It operates at roughly a tenth of the cost of a traditional team, at what we measure as 100x the velocity.
ceed.so →Everyone has the tools. Few have the function. Every quote links to its source.
With text-to-SQL, failure looks like a plausible but incorrect answer. With the Semantic Layer, failure looks like an error message.
Jason Ganz and Benoit Perigaud, dbt Labs — 2026 text-to-SQL benchmark Benchmark · April 2026 → ResearchFour in five product managers use AI every day. One in four has a strategy for it. The biggest blocker to AI success is data access and quality — not tools or budget.
Productside, State of AI for Product Management 2026 (250+ product professionals) Survey · June 2026 → Interview“…while there's little question that the tools can speed the process of creating code or designs, that doesn't necessarily translate into faster and better outcomes.”
Marty Cagan, Silicon Valley Product Group SVPG · December 2024 → ▶ YouTubeMicrosoft CPO: If you aren't prototyping with AI you're doing it wrong
Aparna Chennapragada on Lenny's Podcast — 'prompt sets are the new PRDs' YouTube · May 2025 →Send your company email and we'll come back with your modernization estimate for product and analytics — savings, speed, and time to modernize.
Love us, or let us go. Very simple. Billing in 15-minute increments, an optional monthly cap, and no long-term contract — you can end the engagement any time. No one ever lets us go.