AI Strategy · Product · Engineering

DIGITAL COGNITION — building software & AI that drive outcomes.

We partner with enterprise and growth-stage teams to design, engineer, and operate production-grade AI and software — from audit to scale.

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Trusted by 200+ teams

How we deliver value

A pragmatic, measurable approach that reduces risk and accelerates impact.

Audit & Discovery

Rapid technical & product audit to identify the highest-leverage opportunities.

Prototype & Iterate

Ship working prototypes, validate assumptions, and iterate with measurable KPIs.

Ship & Operate

Production engineering, monitoring, and lifecycle support for sustained outcomes.

Capabilities

Specialist teams delivering engineering, product, and governance for AI-first initiatives.

Architecture & MLOps

Robust model infra, reproducible pipelines, and CI for data and models.

Product Strategy

Roadmaps aligned to business outcomes and measurable experiments.

Design Systems

Scalable interfaces and accessible components for enterprise products.

Data Engineering

Secure pipelines, feature stores, and governance for reliable inputs.

Security & Compliance

Risk assessments, access controls, and privacy-first patterns.

Team Augmentation

Embed senior engineers and researchers to increase delivery velocity.

Contact & brief

Share a short brief and we’ll respond with next steps and an engagement outline.

What we need

A short overview, expected outcomes, and any existing datasets or API access we should review.

Problem statement
Stakeholders & KPIs
Current architecture

Client feedback

Short excerpts from product leaders and engineering managers.

Head of Product, SaaS

"A clear, professional team — they improved our ML reliability and time-to-market."

CTO, Logistics

"Delivered a pragmatic, well-documented solution that integrated with our systems."

Founder, Marketplace

"Helped us design an MVP and set the foundations for scaling."

Ready to define your AI roadmap?

Book a short discovery call and get a bespoke engagement outline.

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FAQ

Practical answers about engagement models and delivery.

What does a discovery look like?

Two-week focused review with stakeholders, technical audit, and a recommended roadmap.

Can you work with our existing teams?

Yes — we embed senior engineers and share best practices to uplift internal capability.

How do you price projects?

We offer fixed-scope discovery, time-boxed pilots, and capacity-based engagements depending on needs.

HEBRIDA LIMITED

We build AI-first products and engineering teams that ship real business value.

Strategy, machine learning engineering, and product-grade software for ambitious companies. We focus on pragmatic AI that integrates with your product and scales.

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What leaders say

Product and engineering leads share why they partner with HEBRIDA.

Amira K.

Head of Product

"HEBRIDA turned an experimental model into a production feature with clear product impact. Fast, pragmatic, and trustworthy."

Markus P.

CTO

"They helped us choose the right stack, hire the right engineers, and ship within quarters — not years."

Sophie R.

Founder

"Clarity of execution and product sensitivity. A rare blend of research-level thinking and delivery focus."

Services & Benefits

Tailored teams, production-grade systems, and measurable outcomes. We move from prototype to product.

ML & Data Engineering

From training pipelines to robust inference, we deliver models that scale with product needs.

Product & Design

User-first design and product strategy for AI features that drive adoption and retention.

Cloud & Infra

Secure, observable infrastructure and automated CI/CD for reliable ML service delivery.

Governance & Reliability

Responsible model deployment, observability, and governance tailored to your risk profile.

Team Augmentation

Engineer and research talent to augment your team — rapid ramp and immediate ownership.

Outcome Tracking

Clear KPIs, experiments, and monitoring so investments translate into measurable value.

Start a conversation

Tell us about your goals — we'll propose a pragmatic engagement that fits your roadmap.

How we work — a practical process

Three focused phases to align product, engineering, and outcomes.

Discovery

Problem framing, success metrics, and feasibility with a short technical audit.

Build

Iterative delivery with production-ready infrastructure and monitoring.

Scale

Operationalization, governance, and knowledge transfer to your team.

Frequently asked

Short answers to common questions about engagements and delivery.

How long does an engagement typically last?

Engagements vary. Discovery sprints are often 2–4 weeks; delivery phases typically run 3–9 months depending on scope.

Do you provide staff augmentation?

Yes — we can embed engineers or provide a cross-functional team to rapidly deliver product outcomes.

How do you handle model governance and safety?

We advise on data minimization, explainability, monitoring, and roll-out controls tailored to your risk profile.

Ready to build with confidence?

Book a short discovery call and receive a tailored engagement plan.

Book discovery