Custom Agentic Solutions
AI-powered SaaS products and internal AI tools built from scratch on our production-ready agentic engine. Two senior founding engineers join you — bringing product sense, engineering judgment, and AI-amplified speed. From zero to production without needing a larger team.
Two founding engineers, not a dev shop
We don't staff a team. Two senior developers — Piotr and Kasia — embed in your project as founding engineers. We decide what to build, shape the product, write the code, and ship it.
Product sense
We don't wait for specs. We understand your market, talk to your users, and decide what to build first. This is much closer to stepping into the product manager role — actually deciding what to build, experimenting with it, and shaping the product in real time. That's how we replace a PM — not with a process, but with deep understanding of your problem.
Engineering judgment
The judgment of what is simple, what is good architecture, and what is unnecessarily complicated becomes a huge factor when building with AI. We read every line of code, review every AI-generated change, and keep the codebase maintainable. Small workarounds add up — one bad pattern gets amplified by the next change. That's where experience matters most.
AI-amplified speed
We recently shipped 483K lines of production code, 349 merged PRs, in 2.5 months with two people. 2.5 billion tokens processed. Feature development happens in parallel with bug fixing. Architecture decisions are made on the fly and tested against different scenarios. This is what AI-amplified engineering actually looks like.
Your product starts with a production-ready engine
Every custom AI SaaS we build runs on Towar — our agentic engine built in Elixir. Agent orchestration, memory, tools, observability, auth, multi-org support — all production-tested. You skip months of infrastructure work and focus entirely on what makes your product unique.
Agent orchestration
ReAct and Plan & Execute strategies, conversation state management, context window handling, multi-provider LLM support (Anthropic, OpenAI). Agents that run continuously — on schedules, in response to events, collaborating in teams.
Memory and learning
Persistent memory across sessions, semantic search via pgvector embeddings, three-scoped learning (organization, project, user). Your AI product gets smarter with every interaction.
Tools and integrations
Built-in tools plus full MCP protocol support. Connect to any API, database, file system, or third-party service. Per-organization configuration and encrypted secrets management.
Observability and evals
Session debugger, token tracking, cost monitoring, eval framework with LLM-as-judge scoring. See exactly what every agent did, why it did it, and how much it cost.
What your custom AI SaaS could look like
The engine is domain-agnostic. We build a completely different product on top of it — your UI, your domain logic, your user experience. Here's what's possible.
AI Scoring Platform
Automated evaluation and scoring for applications, submissions, or assessments. Agents analyze data, apply criteria, and produce consistent scores at scale — replacing manual review with intelligent, auditable decisions.
Legal AI for Law Firms
Document analysis, case research, contract review. Agents that understand legal context, maintain case memory, and work alongside lawyers — not replacing judgment, but amplifying it.
Growth Engine Platform
AI agents that monitor metrics, identify growth opportunities, generate content, and execute campaigns. Continuous operation — not just recommendations, but autonomous action with human oversight.
Construction Project Intelligence
Site monitoring, compliance checking, progress tracking. Agents that process field data, cross-reference plans, and surface actionable insights for project managers in real time.
Internal Operations Tool
Automate repetitive workflows, route decisions, process documents. An AI-powered back-office that learns from every interaction and gets better at handling your organization's specific processes.
Customer Success Platform
Agents that monitor customer health signals, trigger proactive outreach, summarize support history, and recommend actions to CSMs — turning reactive support into predictive customer care.
From idea to production
Long-term collaboration, not a fixed-scope handoff. We work as your founding engineers from day one.
We learn your domain
We understand your market, your users, your problem. If it's a SaaS, we talk to your customers. If it's an internal tool, we sit with the people who'll use it. We don't start coding until we know what matters.
We shape the product together
What should we build first? What can we skip? What's the simplest architecture that solves the real problem? We make these decisions with you, based on real user needs — not assumptions.
We build on the engine
Towar handles agent orchestration, memory, tools, observability, and auth. We focus entirely on your domain logic, your UI, and the features that make your product unique.
We ship and iterate
Deploy to production, learn from real users, adjust. The product evolves based on what actually works — not what a roadmap said six weeks ago.
We stay or hand off
This is a long-term partnership. We can continue developing the product alongside you, or do a clean handover with full codebase ownership. Your choice.
Why two people can build what a team of ten cannot
AI has changed what senior engineers can accomplish. When you combine deep product understanding with engineering judgment and AI tooling, the traditional roles collapse into something more effective.
Product sense replaces a PM
We spend most of our time deciding what to build, reviewing what was built, and giving feedback. It's literally a different kind of job. We understand the problem deeply enough to make product decisions — not from a roadmap, but from talking to users and knowing the domain.
Engineering judgment replaces QA
Being able to read the code, understand the plan the LLM is creating, and give strong feedback on it — that is what keeps quality high. Every PR is reviewed. Architecture decisions are deliberate. We know the difference between simple and unnecessarily complicated.
AI tools replace headcount
Parallel coding sessions, 2.5 billion tokens processed. Feature development, bug fixing, and architecture decisions happen simultaneously. Senior engineers directing AI output is fundamentally different from managing a team of juniors — it's faster and produces more consistent results.
Built and proven
We're Piotr and Kasia Bernad. Over 20 years combined experience building products — from early-stage startups to systems serving millions.
We wrote about how the developer role is shifting — toward founding engineers who shape the product, exercise engineering judgment, and use AI to build at extraordinary speed.
Ready to build your AI product?
Whether you have a specific domain in mind, a prototype that needs to become production-ready, or an idea you want to explore — tell us about it.