AI demos do not become products
Prototypes work in a notebook but never make it to production users.
AI features with business controls
AI Development Services
Build AI-enabled workflows, assistants, knowledge systems, automation, and product features grounded in your data and operations.
1-day response Senior engineers only US-aligned hours
Trusted across the Huberway ecosystem
Challenges
The real problems behind ai development.
These are the patterns we hear from teams before they engage Huberway. We start by acknowledging them, then we plan around them.
Data is not AI-ready
Knowledge sits in PDFs, tickets, and email threads with no governance.
Hallucinations and trust gaps
Output quality varies and stakeholders cannot validate model behavior.
How Huberway helps
Capabilities we bring to your ai development engagement.
AI workflow design
Assistants, copilots, and automations grounded in your knowledge and tools.
Retrieval and context
Search, embeddings, and structured context with access controls.
Safety and review
Human-in-the-loop review, logging, evaluation, and guardrails.
Ready when you are
Add Huberway capacity to your ai development project today.
Tell us the role, the stack, the timeline, and the risk you are trying to remove. We respond within one business day.
How we work
A clear path from first call to delivery.
Discovery
Map goals, risks, and the squad your project actually needs.
Team match
Propose engineers ready to start, with profiles and recent work.
Sprint zero
Align backlog, architecture, access, environments, and rituals.
Delivery
Ship in visible increments, report progress, reduce risk.
Technologies
The tools your ai development squad ships with.
OpenAIAnthropicLangChainPineconePythonNode.jsPostgreSQLRedis
pipeline.py
Python01from dataclasses import dataclass02from typing import Iterable0304@dataclass05class User:06 id: str07 email: str0809def fetch_active_users() -> Iterable[User]:10 for row in query("SELECT * FROM users WHERE active"):11 yield User(id=row[0], email=row[1])
Why Huberway
Engineering capacity with the operating standards of an internal team.
Senior product engineering
Experienced engineers, not entry-level pools. Each squad ships production code from week one.
Embedded delivery model
We work inside your sprint, repo, and rituals — not as an external ticket queue.
Transparent reporting
Weekly progress, burn-down, blockers, and risks visible to your stakeholders.
Security and access controls
Scoped access, code review, audit trail, and clear ownership of artifacts.
Flexible commercial terms
Time and material, fixed scope, or retained capacity — we adapt to your model.
US-aligned collaboration
Working hours, communication style, and rituals built around US teams.
Our team
Senior engineers and product leaders behind every engagement.
Marco Bianchi
Lead Engineer
Sara Conti
Product Designer
Davide Romano
Backend Architect
Elisa Greco
QA & Delivery Lead
Tommaso Ferri
Fractional CTO
“The AI assistant deflects 30% of internal questions and our knowledge base finally stays current.”
Head of Operations, Insurance
Enterprise — 1200 employees
Governance
Delivery with visibility and controls.
We work with clear access, documentation, code review, release discipline, and reporting so your team always knows what is happening and why.
Access control
Code review
Delivery reporting
FAQ
Common questions about AI Development.
We start with the safest practical architecture: existing models, controlled context, and business-specific knowledge.
Get in touch
Let's make progress together.
Tell us what you want to build, what capacity you need, and where the biggest technical risk sits. A Huberway delivery lead replies within one business day.
One business day response time
Senior engineers, not entry-level pools
Embedded in your sprint and tools