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Power your strategy with data-driven intelligence

Unlock the value of your data with advanced data science that forecasts outcomes, models behavior, and strengthens decisions that drive growth.

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The business impact of data-driven decision making

15–25 %

EBITDA uplift reported by businesses using data-driven commercial growth engines in B2B sales.

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2.8×

higher likelihood of achieving double-digit year-over-year growth for advanced insights-driven businesses.

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30 %

average annual growth rate achieved by data-driven businesses.

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Data science & predictive analytics solutions that drive business foresight

ML strategy & consulting
ML strategy & consulting

We design and deliver tailored AI agents built around your unique data, workflows, and objectives. From concept to deployment, we ensure seamless integration with your business ecosystem.

Workflow automation solutions
Workflow automation solutions

We build agentic automation systems that eliminate repetitive tasks, reduce operational friction, and connect fragmented business processes for measurable productivity gains.

Multi-agent system architecture
Multi-agent system architecture

We create coordinated ecosystems of specialized agents that work together across teams and tools, giving your business greater visibility, smarter automation, and faster decisions.

Secure deployment & optimization
Secure deployment & optimization

We handle full-cycle deployment, monitoring, and performance tuning to ensure your AI agents remain secure, compliant, and continuously aligned with evolving business goals.

1100+ active engineer

Transform your data into decision ready intelligence

Turn your data into a unified intelligence layer that enhances planning, optimizes operations, and supports decisions with clear, evidence-driven insights.

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HOW IT WORKS

Our approach: strategy to scale

A simple, proven process to go from idea to production — fast.

01
Discover Pilot Transform & Scale MLOps, monitoring & governance Scale, optimize & evolve
01 Discover

AI Workshop
Designed for decision-makers to explore where AI fits in their business. In one collaborative session we identify high-impact opportunities, assess readiness, and outline an adoption roadmap.

  • Duration: 1 Day
  • Deliverables: Readiness report | Use-case map | Prioritized roadmap

Discovery & Design
Create a blueprint for your implementation with a clear architectural and data strategy.

  • Duration: 2 Weeks
  • Deliverables: Use-case backlog | ROI model | Solution blueprint
02 Pilot

MLOps, monitoring & governanceProof of Value
Validate your concept through a focused pilot. We define success metrics and confirm performance before expansion.

  • Duration: 4–6 Weeks
  • Deliverables: Interactive demo | Performance metrics | Compliance checklist

90-Day MVP
Develop a production-ready MVP with authentication, logging, and monitoring to ensure measurable outcomes.

  • Duration: 6–10 Weeks
  • Deliverables: Live MVP | SLOs | Adoption plan | Training resources
03 Transform & Scale

MLOps, monitoring & governance

04 MLOps, monitoring & governance

Full-Scale Rollout
Build full-scale products designed for seamless integration, superior user experiences, and scalable deployment across your organization.

  • Duration: 90 Days Onwards
  • Deliverables: Multi-use-case rollout | Performance reports | Operational playbooks
05 Scale, optimize & evolve

Full-Scale Rollout
Build full-scale products designed for seamless integration, superior user experiences, and scalable deployment across your organization.

  • Duration: 90 Days Onwards
  • Deliverables: Multi-use-case rollout | Performance reports | Operational playbooks

Featured success stories.

All case studies
Salesforce Implementation

Streamlined ABB's operations with Salesforce and Azure integration

Machinery Manufacturing Enterprise Software

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"Briloq shared our vision right from the get go, and helped us achieve the unthinkable."

"Briloq shared our vision right from the get go, and helped us achieve the unthinkable."

Pam Chitwood

Product Manager, ABB

Engineering

23% increase in sales team productivity with a customized CSR system

Manufacturing Engineering

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Watch Testimonial

Nick Drogo

Global Director IT, Knowles

Engineering

23% increase in sales team productivity with a customized CSR system

Manufacturing Engineering

View case study

Watch Testimonial

Nick Drogo

Global Director IT, Knowles

Engineering

23% increase in sales team productivity with a customized CSR system

Manufacturing Engineering

View case study

Watch Testimonial

Nick Drogo

Global Director IT, Knowles

Engineering

23% increase in sales team productivity with a customized CSR system

Manufacturing Engineering

View case study

Watch Testimonial

Nick Drogo

Global Director IT, Knowles

Why machine learning matters now

From insight to prediction

Machine learning allows organizations to move beyond descriptive analytics and unlock predictive insights, intelligent automation, and data-driven decision-making.

Execution requires more than models

To succeed with ML, organizations need more than algorithms. They require the right infrastructure, operational processes, governance frameworks, and ongoing discipline to support production-grade systems.

Measurable business impact

When executed properly, ML initiatives can transform operations, improve customer engagement, manage risk, and create sustainable competitive advantage.

Competitive pressure is accelerating adoption

As ML becomes embedded across industries, organizations that delay adoption risk falling behind peers who are already using data-driven systems to move faster, operate more efficiently, and respond to change with greater precision.

We’ve been recognized by the best, year after year

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Common Questions

Frequently Asked Questions

Everything you need to know before starting.

Your chosen engineer starts working immediately — joining your Slack, attending standups, and shipping real work from Day 1. You pay nothing upfront. After 2 weeks, if you're satisfied, you commit. If not, we replace them within 48 hours at no extra cost. No paperwork headaches, no awkward conversations.

No problem at all. We handle the swap entirely — no penalties, no awkward exit conversations, and no wasted time restarting from scratch. We tap into our pre-vetted pipeline and deliver a new shortlist within 48 hours. Most replacements are placed within the same week.

Every engineer goes through a 5-stage process: (1) resume & portfolio review, (2) live technical interview with our senior engineers, (3) coding assessment, (4) soft-skills & communication evaluation, and (5) background & reference check. Only the top 8% pass. You receive a full vetting report with each profile.

Yes. We match talent to your core working hours. We cover US (EST/PST), UK (GMT), EU (CET), and GCC (GST) timezones. You specify the overlap you need and we filter accordingly — minimum 4 hours of daily overlap is our standard.

We do — completely. Briloq acts as the employer of record. We handle employment contracts, IP assignment, NDA signing, payroll processing, local compliance, and equipment setup. You get a single monthly invoice. Zero HR overhead on your side.

Absolutely. Many clients start with one engineer and scale to a dedicated team of 5–15 within 90 days. We can build you a full pod — frontend, backend, DevOps, QA, and a PM — all pre-vetted and timezone-aligned. Tell us what you're building and we'll design the team structure.

We work across SaaS platforms, mobile apps, AI/ML products, data pipelines, DevOps infrastructure, and enterprise software. Our engineers have shipped products across fintech, healthtech, logistics, e-commerce, and developer tooling. If it runs on code, we can staff it.

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