AI Assistants for the Frontlines

Built for purpose. Tuned for performance. Deployed anywhere. Fully private.

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Benefits

Benefits

Pocket-Sized AI, Enterprise-Sized Impact

Small, secure, and smart enough to run at the edge. Bilbo AI assistants do real work—without the risk, cost, or complexity of giant LLMs.

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.

Our Solutions

Mission Focused AI Solutions

From border operations to business operations, Bilbo assistants help teams extract insights, break language barriers, automate decisions, and navigate complex policies — all with compact AI deployable anywhere.

Extracting Data…..

Contacts

Invoices

Medical

Classify

Extract

Validate

Extracting Data…..

Contacts

Invoices

Medical

Classify

Extract

Validate

Extracting Data…..

Contacts

Invoices

Medical

Classify

Extract

Validate

Unstructured to Structured Intelligence 

Extract, summarize, and structure critical data — wherever it lives. Assistants that classify, extract, and summarize structured data from unstructured sources using vision-language and text models — all optimized for secure field or desktop deployment

Decision Support & Workflow Automation 

Assistants that triage, route, escalate, and assist — like your smartest team member. Assistants that summarize documents, flag issues & anomalies, checking for policy compliance or eligibility, and routing tasks or cases based on your organization rules.

All Tasks

Decision Queue

  • Invoice Approval

    Done on 2nd july

  • Application Review

    Missing Documents

  • Pre-Auth Review

    Escalated to SME

  • Incident Report

    Assign Investigator

  • Payment reminder

    sent to selected clients

All Tasks

Decision Queue

  • Invoice Approval

    Done on 2nd july

  • Application Review

    Missing Documents

  • Pre-Auth Review

    Escalated to SME

  • Incident Report

    Assign Investigator

  • Payment reminder

    sent to selected clients

All Tasks

Decision Queue

  • Invoice Approval

    Done on 2nd july

  • Application Review

    Missing Documents

  • Pre-Auth Review

    Escalated to SME

  • Incident Report

    Assign Investigator

  • Payment reminder

    sent to selected clients

What can I help with?

Ask any question on your policy documents.

|

Add document

Analyze

Generate Image

research

What can I help with?

Ask any question on your policy documents.

|

Add document

Analyze

Generate Image

research

What can I help with?

Ask any question on your policy documents.

|

Add document

Analyze

Generate Image

Organizational Knowledge Assistants

Turn static policies and manuals into live, searchable knowledge engines. Our secure, trustworthy assistants work across policy and compliance documents, operational and procedural guides, legal and regulatory references, and knowledge and training resources — delivering instant, accurate answers to HR, legal, compliance, or operational questions in any organization.

Multilingual Assistants for Fieldwork and Frontlines

Break down language barriers in the field and at the front desk. On-device speech and language assistants to transcribe, translate, and summarize multilingual input — text or voice.

Interview in Progress……

Officer (English): Please describe the purpose of your visit.
Officer (Mandarin): 请介绍一下您此行的目的。

Traveler (Mandarin): 我是来参加一个国际会议的。
Traveler (English): I am here to attend an international conference.

Officer (English): How long will you stay?
Officer (Mandarin): 您会停留多久？

Traveler (Mandarin): 大约五天。
Traveler (English): About five days.

Officer (English): Are you carrying any items that need to be declared?
Officer (Mandarin): 您有携带需要申报的物品吗？

Interview in Progress……

Officer (English): Please describe the purpose of your visit.
Officer (Mandarin): 请介绍一下您此行的目的。

Traveler (Mandarin): 我是来参加一个国际会议的。
Traveler (English): I am here to attend an international conference.

Officer (English): How long will you stay?
Officer (Mandarin): 您会停留多久？

Traveler (Mandarin): 大约五天。
Traveler (English): About five days.

Officer (English): Are you carrying any items that need to be declared?
Officer (Mandarin): 您有携带需要申报的物品吗？

Interview in Progress……

Officer (English): Please describe the purpose of your visit.
Officer (Mandarin): 请介绍一下您此行的目的。

Traveler (Mandarin): 我是来参加一个国际会议的。
Traveler (English): I am here to attend an international conference.

Officer (English): How long will you stay?
Officer (Mandarin): 您会停留多久？

Traveler (Mandarin): 大约五天。
Traveler (English): About five days.

Officer (English): Are you carrying any items that need to be declared?
Officer (Mandarin): 您有携带需要申报的物品吗？

Our Process

Our Process

How We Turn Real-World Needs into Compact AI That Delivers

A secure, scalable process for building AI assistants.

Step 1

Workflow & Needs Scan

Pinpoint high-impact, high-friction processes where compact AI assistants can save time, cut costs, and improve accuracy.

Analyzing current needs..

Deployment Needs

Document Formats

Decision Types

Knowledgebases

Improvement Cadence

Analyzing current needs..

Deployment Needs

Document Formats

Decision Types

Knowledgebases

Improvement Cadence

Step 2

Purpose-Built Model Design

Create small language and vision-language models tuned to your data, compliance rules, and operating environment.

  • class MLTrigger:
    model_path: str
    prob_threshold: float = 0.5
    status: str = "inactive"
    def __post_init__(self):
    self.model = joblib.load(self.model_path)
    def check_trigger(self, features: List[float]) -> str:
    prob = float(self.model.predict_proba([features])[0, 1])
    if prob >= self.prob_threshold:
    self.status = "active"
    return f"Automation triggered! (p={prob:.2f})"
    return f"No action taken. (p={prob:.2f})"


  • class MLTrigger:
    model_path: str
    prob_threshold: float = 0.5
    status: str = "inactive"
    def __post_init__(self):
    self.model = joblib.load(self.model_path)
    def check_trigger(self, features: List[float]) -> str:
    prob = float(self.model.predict_proba([features])[0, 1])
    if prob >= self.prob_threshold:
    self.status = "active"
    return f"Automation triggered! (p={prob:.2f})"
    return f"No action taken. (p={prob:.2f})"


  • class MLTrigger:
    model_path: str
    prob_threshold: float = 0.5
    status: str = "inactive"
    def __post_init__(self):
    self.model = joblib.load(self.model_path)
    def check_trigger(self, features: List[float]) -> str:
    prob = float(self.model.predict_proba([features])[0, 1])
    if prob >= self.prob_threshold:
    self.status = "active"
    return f"Automation triggered! (p={prob:.2f})"
    return f"No action taken. (p={prob:.2f})"


  • class MLTrigger:
    model_path: str
    prob_threshold: float = 0.5
    status: str = "inactive"
    def __post_init__(self):
    self.model = joblib.load(self.model_path)
    def check_trigger(self, features: List[float]) -> str:
    prob = float(self.model.predict_proba([features])[0, 1])
    if prob >= self.prob_threshold:
    self.status = "active"
    return f"Automation triggered! (p={prob:.2f})"
    return f"No action taken. (p={prob:.2f})"


Step 3

Secure, Zero-Disruption Deployment

Integrate assistants into existing systems and devices with no data leaving your control — cloud optional, edge ready.

Our solution

Your stack

Our solution

Your stack

Step 4

Continuous Optimization

Adapt & upgrades assistants as policies, workloads, and conditions change, so performance stays high and costs stay low.

Knowledge Assistant

New training documents added

Workflow system

Updated to reflect new policies

Document Processing

Supports new document format

Knowledge Assistant

New training documents added

Workflow system

Updated to reflect new policies

Document Processing

Supports new document format

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?

Ready to See the Difference?

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

Get in Touch

Get in Touch

Get in Touch

Get in Touch

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

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