About Us

Not All Heros are Giants

We build small, efficient AI that slays big problems just like Bilbo. 

Who We Are

Bilbo is a San Francisco–based team of Silicon Valley innovators with over 20 years of experience building AI solutions. Guided by our 4P principles—Purpose-built, Private, Price-smart, Portable—we create assistants that serve two distinct audiences: mobile professionals (field agents, clinicians, inspectors, emergency responders) who need real-time intelligence in the field away from their desks and security-conscious teams who cannot risk exposing sensitive data to public large-language models ChatGPT or Claude. 

At Bilbo.ai, our namesake reminds us that outsized impact doesn’t require extraordinary size. We design compact, multimodal AI assistants that deliver enterprise-grade performance without cost or complexity of larger models.  Whether deployed at the edge or in the cloud, our secure AI assistants deliver rapid, targeted intelligence—enhancing mission execution, improving operational efficiency, and supporting informed decisions across operational environments—so your teams can do more with less. 

Values

Values

The Values Behind Bilbo

We reject the belief that more compute equals better outcomes — our measure is impact, not size.

Purpose-Built

Built for the Job. Not Trained for Everything. Bilbo agents are tailored for specific tasks not trained to “do it all.” Unlike giant LLMs that hallucinate or wander off-topic, ours stay locked on mission objectives and policies.

Private

Keep Your Data. Drop the Risk. Large LLMs require you to send sensitive data to the cloud. Bilbo assistants run on your devices, inside firewalls, and in full compliance. No sharing, no leaking, no third-party model exposure.

Price-Smart

Cut the Cost. Keep the Capability. Why burn thousands on inference? Bilbo assistants run on modest hardware, cutting costs without cutting capability. Giant models eat compute and budgets — we don’t need either to deliver results.

Portable

Field-Ready. Not Server-Bound. Bilbo assistants go wherever the work is — offline, on the edge, or in rugged conditions. Large LLMs need stable connections, cloud access, and ideal conditions. Ours don’t. They’re made to move with your mission.

Portable

Field-Ready. Not Server-Bound. Bilbo assistants go wherever the work is — offline, on the edge, or in rugged conditions. Large LLMs need stable connections, cloud access, and ideal conditions. Ours don’t. They’re made to move with your mission.

Why us

Why us

What makes us stand out in the industry

Why rent a stadium to host a meeting? See how focused, small language model assistants outperform giant LLMs in real-world work.

Giant Models

Do-it-all, often off-topic

Do-it-all, often off-topic

Do-it-all, often off-topic

High compute & cost

High compute & cost

High compute & cost

Cloud-bound

Cloud-bound

Cloud-bound

Hard to retrain

Hard to retrain

Hard to retrain

Data leaves your control

Data leaves your control

Data leaves your control

Bilbo AI Assistants

Task-specific, on-mission

Task-specific, on-mission

Task-specific, on-mission

Low compute, cost-smart

Low compute, cost-smart

Low compute, cost-smart

Edge & offline ready

Edge & offline ready

Edge & offline ready

Quick to adapt

Quick to adapt

Quick to adapt

Data stays local

Data stays local

Data stays local

FAQs

FAQs

FAQs

We’ve Got the Answers You’re Looking For

Quick, clear answers about Bilbo’s small-model AI assistats — and why they outperform bloated, cloud-bound LLMs.

How are small language models (SLMs) different from large language models (LLMs)?

Do I need the cloud to use Bilbo’s AI?

Is there a trade-off between smaller models and performance?

How does this reduce costs compared to LLMs?

Can Bilbo’s assistants handle sensitive or regulated data?

How are small language models (SLMs) different from large language models (LLMs)?

Do I need the cloud to use Bilbo’s AI?

Is there a trade-off between smaller models and performance?

How does this reduce costs compared to LLMs?

Can Bilbo’s assistants handle sensitive or regulated data?

How are small language models (SLMs) different from large language models (LLMs)?

Do I need the cloud to use Bilbo’s AI?

Is there a trade-off between smaller models and performance?

How does this reduce costs compared to LLMs?

Can Bilbo’s assistants handle sensitive or regulated data?

Ready to See the Difference?

Stop renting bloated AI in the cloud.
Own your AI, run it anywhere, and cut costs without cutting capability.

© All right reserved, Bilbo Technologies LLC, San Francisco, CA

© All right reserved, Bilbo Technologies LLC, San Francisco, CA