We build your AI, prove it works,
and help you adapt

Build

Simple, composable, AI powered systems that solve real problems.

Prove

Instrument, measure, and understand your systems before any regressions appear.

Adapt

Ensure your organization is structured in a way to take advantage of AI.

Who is this for?

For teams that are serious about building with AI

You’re curious whether LLMs are a good fit for your business, but aren’t sure where to start.

We'll help you spot the right first use case (if any), scope what it takes to build, assess the risks, and prepare your team for the change, once you decide to take the leap.

That’s me!

Your demo at the last meetup was a success, but you’re not confident going to production.

We'll help you define what "good" actually looks like, build evals so you can measure against it, and give your team a shared goal to align around.

That’s me!

You've got agents taking actions on their own in production.

We'll help you decide which actions are worth handing over, put evals and guardrails in place to keep them reliable at scale, and set up the governance that says who owns the responsibility.

That’s me!

Go as deep as you need to

From single calls to autonomous agents, we’ve got you covered.

Augmented LLM Calls

To structure your data

Build

A single call that classifies or understands the semantics of your data

Prove

The right tools get triggered, the expected skills get used, and the output is correct

Adapt

Standardize shared building blocks and review them as a team

Try

Try it out on a single LLM call that produces metrics as it runs.

Try beeline

Information Retrieval

To answer over your data

Build

Answers grounded in your own sources of truth

Prove

Answers stay true to the source and your system pulls the right documentation

Adapt

Own the knowledge base and keep it up to date for everyone

Workflow Orchestration

To generate at scale

Build

Chained, routed steps that handle your business processes

Prove

Every step is sound and the final output is good

Adapt

Teams co-own the pipeline and move together from start to finish

Try

Try it out on a single LLM call that produces metrics as it runs.

Try beeline

Autonomous Agents

For goal-oriented automation

Build

Tool-using agents that take a task end-to-end

Prove

The agent took the right path, called the appropriate tools, and reached its goal

Adapt

Maintain clear oversight and incorporate human-in-the-loop checks, accountability stays with you

The Beeline app: running an LLM call and observing its scored runs Beeline

Beeline

Build any AI feature and prove it works

Beeline shows how you can turn an intent into a working feature and the evals that measure it. Fully automated, from build to production.

Collaboration in the age of AI

Let measurements align your hive.

Product Engineering

Set target

Define goals, capture user stories, set acceptance criteria.

SkillCharterDatasetScorers

Know what to build and how it will be graded.

Build/integrate into system

Builds the agent scaffolding, plugs in the externally versioned skill, hooks up tools and observability.

TelemetrySampled dataRegression alertsROI signal

See what works in production and what doesn’t.

Analyze and plan next steps

Reviews and labels new production data, draws consequences, prioritizes by impact.

Refined charterRefreshed datasetTuned scorersIterated skillUpdated benchmark

Learn more about our approach

Meet the beekeepers

Hernando Castano

Hernando Castano

I started my career off working in bioinformatics, moved to embedded systems, and then found myself working on distributed systems and compilers. I've advised startups, run grant programs, and worked as a security auditor. Before Biene Club I was working as the CTO of Entropy Cryptography.

I get a buzz over helping people solve problems at the intersection of technology, product, and business strategy.

Daniel Kalman

Daniel Kalman

I love designing complicated applications. I've built spatial tools, graph and data visualizations, and interfaces for blockchain protocols (that's where I met Hernando) before landing on agentic experiences at Entropy Cryptography.

Working with AI has convinced me that what I always loved most about design, translating intent into clear goals I can propose solutions to, is now the most important skill in product design.

Hi, I'm Hernando!

In the summer of 2025, I was stung by a bee. I was in Berlin winding down some efforts at Entropy Cryptography. While painful, I took this as a sign of good luck for a new adventure ahead.

The new adventure started in the winter of 2026, when I brought Daniel onboard to co-found Biene Club.

We'd worked together at Parity Technologies and Entropy Cryptography, and knew how much quality matters when you're building systems that are complex and high-stakes.

By then we had started building AI powered applications, and the same approach applied: quality came first, and everything else built up from there.

We're here to make your journey into AI - whether it's your first time putting on a beekeeper suit, or if you're already an experienced agent beekeeper - not sting as much.

Get in touch

Let us know how we can help