Sam Stephenson – Co-Founder & Designer of Granola

Sam Stephenson is a British product designer, entrepreneur, and co-founder of Granola, the AI-powered meeting workspace that has rapidly emerged as one of the UK's most notable AI startups.

Unlike many AI founders who come from engineering or machine-learning backgrounds, Stephenson comes from design. He studied graphic design at Falmouth University and built his career around product design, user experience, and making complex technology feel intuitive. 

Today, Stephenson works alongside Christopher Pedregal, Granola's co-founder and CEO. Stephenson is not the CEO; he is the company's co-founder and design/product-focused founder.

That distinction is important for CEO-Watch: Stephenson is best profiled as a Founder / AI Product Visionary, rather than incorrectly labeling him CEO.

From Designer to AI Founder

Stephenson's career began in design rather than traditional software engineering.

He studied graphic design at Falmouth University, graduating in 2016. His early career involved working across startups and design-focused organizations before moving deeper into technology and product development. 

His professional path eventually brought him into the world of software startups, where he developed an interest in a particular problem:

How do you make extremely powerful technology feel simple and natural to ordinary people?

That question would become central to Granola.

The Designer Who Learned to Code

One of the defining characteristics of Stephenson's career is that he didn't remain purely a visual designer.

He describes himself as someone who started as a designer and learned to code, allowing him to operate at the intersection of product design and engineering. 

That combination became particularly valuable as AI products emerged.

AI technology can be extraordinarily complicated behind the scenes.

But the user experience can be extremely simple.

Stephenson's role at Granola has been to bridge those two worlds:

Complex AI → Simple human experience

Meeting Christopher Pedregal

Stephenson eventually teamed up with Christopher Pedregal, a former Google product manager and founder of Socratic.

The two shared an interest in how AI could change knowledge work.

Their starting point wasn't simply:

"Let's build an AI meeting bot."

Instead, they asked a more fundamental question:

What happens to the information generated during meetings?

Meetings contain enormous amounts of knowledge:

• Decisions

• Ideas

• Commitments

• Customer feedback

• Product discussions

• Strategy

• Context

• Action items

But most of that information disappears once the meeting ends.

Granola was designed to solve that problem.

Founding Granola

Stephenson and Pedregal founded Granola in 2023.

The initial product was an AI-powered notepad for meetings.

Rather than simply recording meetings and producing generic summaries, Granola was designed around the idea of combining:

Human notes + AI transcription + context

The result is a richer representation of what happened during the meeting.

No Bot in the Meeting

One of Granola's most important product decisions was to avoid putting a visible AI bot inside the meeting.

Traditional AI meeting assistants often work by having a bot join the call.

Participants see another participant appear.

The bot records the conversation.

Granola takes a different approach.

Its AI notepad runs locally on the user's computer and captures the meeting without requiring a visible bot to join.

This seemingly small design decision has major implications.

The meeting remains:

Human → Human

rather than:

Human → Human → AI Bot

Why the "No Bot" Philosophy Matters

Stephenson has emphasized that removing the visible bot changes the social dynamics of meetings.

People can talk naturally without feeling that an artificial participant is listening.

This creates a more subtle form of AI assistance.

The AI isn't the participant.

It is the memory layer around the participant.

That distinction became one of Granola's most important product advantages.

AI Notetaking, Reimagined

Traditional meeting transcription tools typically follow a simple workflow:

Record → Transcribe → Summarize

Granola attempts to go further:

Listen → Combine with human notes → Understand context → Organize → Extract useful information

This makes the product less like a recording tool and more like an AI workspace for knowledge.

The Design Philosophy

Stephenson's design background is visible throughout Granola.

The product deliberately avoids the feeling of traditional enterprise software.

Instead of overwhelming users with menus, dashboards, and configuration options, Granola aims to make the experience feel almost invisible.

The underlying technology is sophisticated.

The interface is intentionally simple.

This reflects Stephenson's broader design philosophy:

Technology should feel inevitable rather than intimidating. 

Designing for Trust

Trust is particularly important for an AI product that interacts with people's meetings.

Meetings can contain:

• Confidential business information

• Customer information

• Financial discussions

• Product roadmaps

• Personal conversations

• Sensitive company strategy

Stephenson has therefore focused heavily on the question:

How do you design AI that people trust?

His approach emphasizes human agency and making sure users remain in control of the AI rather than feeling that the AI is taking control of their work. 

Human Agency

One of Stephenson's recurring ideas is human agency.

AI should increase what humans can accomplish without removing their control.

For Granola, this means:

Human decides what matters.

AI helps capture and organize it.

That is different from an AI system attempting to independently run the meeting.

From Meeting Notes to a Knowledge Layer

Granola's larger ambition has expanded beyond simple meeting summaries.

Meetings generate information that can potentially become part of a company's broader knowledge system.

Imagine an organization where information from hundreds of conversations can be connected:

Sales meeting → Customer feedback → Product decision → Engineering task → Follow-up meeting

The AI can potentially connect those pieces.

This creates the possibility of a company-wide conversational knowledge layer.

Granola's Rapid Growth

The company has grown extremely quickly.

Granola was founded in 2023 and quickly attracted significant venture investment.

Its funding rounds include:

• Seed

• Series A

• Series B

• Series C

By March 2026, Granola had raised a $125 million Series C and reached a reported $1.5 billion valuation, according to reporting around the round. 

Another March 2026 report described the company as a UK unicorn, citing a £94 million Series C and a valuation of approximately £1.1 billion. 

These figures differ because reports can use different exchange rates and valuation measurements, but both reflect the same underlying story:

Granola became a billion-dollar AI company remarkably quickly.

The UK AI Startup Scene

Granola has also become an important example of the UK's growing AI ecosystem.

The company was founded in London and has built its headquarters there. 

Its success places Stephenson among a new generation of British technology founders building globally relevant AI companies.

Rather than moving immediately to Silicon Valley, Granola has maintained strong roots in London while expanding internationally.

From Consumer-Like Design to Enterprise AI

One of Stephenson's biggest challenges is balancing simplicity with enterprise requirements.

Enterprise customers want:

• Security

• Integrations

• Administration

• Data controls

• Collaboration

• Compliance

• APIs

But adding those capabilities can easily make software complicated.

Stephenson's design challenge is therefore:

How do you build enterprise-grade infrastructure without making the product feel like enterprise software?

This is where his design background becomes strategically important.

Granola's Product Expansion

Granola has increasingly evolved from a meeting note-taking application into a broader AI workspace.

The company has introduced capabilities including:

• Team Spaces

• Integrations

• MCP support

• Public APIs

• Expanded meeting intelligence

These features move Granola closer to becoming infrastructure for organizational knowledge rather than simply a meeting assistant. 

The "AI Meeting Super App"

As Granola expands, the company's ambition increasingly resembles an AI meeting super app.

The idea is that the meeting itself becomes a starting point for a much broader workflow.

A conversation can generate:

Notes → Tasks → Follow-ups → CRM updates → Product insights → Team knowledge

This turns the meeting from an isolated event into structured organizational data.

Challenging Traditional SaaS Thinking

Stephenson has also questioned some traditional SaaS assumptions around data.

Historically, SaaS companies often try to keep users inside their own software.

But AI changes the economics.

If an AI assistant can access information from multiple systems, the value comes from connecting data rather than locking it inside one application.

Stephenson has argued that traditional SaaS thinking around keeping data locked into the product may no longer work as well in the AI era. 

This is an important strategic idea.

The next generation of SaaS may be less about owning a database and more about becoming an intelligent layer across many databases.

Granola's Competitive Advantage

The AI meeting market is crowded.

Competitors include products from companies such as:

• Microsoft

• Google

• Zoom

• Otter.ai

• Fireflies.ai

• Fathom

• Read AI

Granola's differentiation is largely based on experience rather than raw transcription.

Its philosophy is:

Don't build another meeting bot.

Build an AI that understands the user's meeting context without becoming another participant.

The Importance of Product Craft

Stephenson's emphasis on product craft has become part of Granola's identity.

In an AI market where many products can appear interchangeable, design can become a major competitive advantage.

The underlying models are increasingly commoditized.

The user experience isn't.

Stephenson's challenge is therefore to create an AI product that people genuinely enjoy using, rather than merely tolerating because it saves time.

Software With Soul

One phrase repeatedly associated with Stephenson's approach is the idea of "software with soul."

The concept is that software shouldn't feel like an interchangeable collection of buttons.

It should have:

• Personality

• Intentionality

• Craft

• Emotional resonance

• Strong opinions about the user experience

This is particularly relevant in AI.

As AI-generated interfaces become easier to produce, product personality can become a differentiator.

The Designer's Advantage in AI

Stephenson represents an increasingly important type of AI founder:

The designer-founder.

Much of the first generation of AI startups was led by researchers and engineers.

The next generation may increasingly be led by people who understand how humans actually interact with AI.

Stephenson's expertise lies in that intersection.

He asks:

What should AI feel like?

not simply:

What can AI do?

That distinction can be crucial for mass adoption.

Building Habit-Forming AI

A major focus of Stephenson's thinking is habit formation.

An AI product doesn't become valuable simply because it is impressive.

It becomes valuable when users incorporate it into their daily workflow.

For Granola, the goal is to become something people automatically open whenever a meeting begins.

Once that behavior becomes habitual, the product becomes deeply embedded in the user's workflow.

The Founder Dynamic

The partnership between Stephenson and Pedregal is particularly interesting because their backgrounds complement each other.

Christopher Pedregal

• Engineering/product background

• Google experience

• Entrepreneurial experience

• CEO

Sam Stephenson

• Design background

• Product craft

• User experience

• Founder/product vision

This creates a powerful combination:

Business + technology + product design

Rather than having two founders with identical skill sets, they bring different perspectives to the company.

A Different Kind of AI Founder

Stephenson isn't the stereotypical AI entrepreneur.

He isn't primarily known for:

• Building foundation models

• Machine-learning research

• Computer science publications

• GPU infrastructure

His contribution is different.

He is focused on making AI usable, trustworthy, and human.

That could become just as important as model development as AI becomes embedded into everyday software.

Sam Stephenson – Key Facts

Full Name: Sam Stephenson
Profession: Entrepreneur, Product Designer, Founder
Current Position: Co-Founder, Granola
Company: Granola
Founded: 2023
Co-Founder: Christopher Pedregal
Current CEO: Christopher Pedregal
Education: Falmouth University
Field: Graphic Design
Location: London, UK
Previous Background: Product design, startups, technology
Known For: AI product design, Granola, AI meeting intelligence, human-centered AI
Granola Category: AI / SaaS / Productivity / Meeting Intelligence
Reported 2026 Valuation: ~$1.5B / ~£1.1B
Reported 2026 Series C: ~$125M / £94M
Key Philosophy: Human agency, trust, simplicity, product craft

Sam Stephenson's Entrepreneurial Legacy

Sam Stephenson's story represents a different path into AI entrepreneurship.

He didn't begin by building machine-learning models.

He began by asking a much more human question:

How should technology feel?

His background in graphic and product design eventually led him to software, startups, and finally AI.

With Granola, Stephenson and Christopher Pedregal identified an increasingly important problem:

Human knowledge is generated constantly, but most of it disappears.

Meetings are one of the biggest examples.

People spend hours talking about customers, products, strategy, decisions, and ideas.

Then the meeting ends.

Somebody writes a few notes.

Most of the context disappears.

Granola attempts to capture that lost context without turning AI into an intrusive participant.

Its philosophy can be summarized as:

Don't add another person to the meeting.

Add intelligence around the meeting.

That seemingly simple insight has helped Granola become one of the fastest-growing AI startups in the UK.

For CEO-Watch, Stephenson is particularly interesting because he represents the designer-founder generation of AI.

His competitive advantage isn't necessarily inventing a new foundation model.

It's understanding how humans interact with increasingly powerful technology.

As AI becomes more capable, that may become one of the most valuable skills in technology.

The next generation of successful AI products won't necessarily win because they have the most powerful model.

They may win because they make that model feel natural, trustworthy, invisible, and indispensable.

That is the product philosophy Sam Stephenson is helping build at Granola.