Orbit Lab is a full-service Data & AI agency. We help mid-to-large businesses build the data infrastructure, intelligence, and automation systems that drive real revenue growth, reduce costs, and sharpen decision-making.
From strategy to execution, we cover the full data and AI value chain — so you get results, not just deliverables.
We help you figure out what to build and why. Data roadmaps, architecture planning, tool selection, and aligning data investment directly with business outcomes.
Learn more →Design and build scalable data systems — pipelines, warehouses, lakes, and system integrations. Your core execution engine for reliable, production-grade data infrastructure.
Learn more →Turn data into boardroom-ready insights. We build dashboards, KPI frameworks, and reporting systems that give leadership real-time visibility and faster decision-making.
Learn more →Practical, business-first AI — not hype. We build document processing systems, customer intelligence tools, demand forecasting models, recommendation engines, and workflow automation that measurably reduces manual effort and accelerates revenue. Every AI solution we build is tied to a clear business outcome.
Learn more →Ensure your data is clean, reliable, and audit-ready. We detect and remove PII across entire production databases in as little as 15 minutes — fully automated, fully auditable. Critical for finance and regulated industries handling sensitive customer data.
Learn more →Move from legacy systems to modern platforms with minimal risk and zero data loss. We restructure, replatform, and optimize — dramatically cutting infrastructure costs and improving performance.
Learn more →Tailor-made data solutions for your industry — internal analytics tools, client-facing apps, and industry-specific products like mortgage insights platforms or bank statement analyzers.
Learn more →Your embedded data team, on retainer. We monitor pipelines, resolve incidents, optimize performance, and continuously improve your data systems month after month.
Learn more →Validate ideas before full investment. In 2–4 weeks, we build a working proof-of-concept that proves the value — giving stakeholders confidence and removing uncertainty before you commit.
Start a POC →A proven, repeatable process that eliminates risk, keeps stakeholders aligned, and delivers working systems — not slide decks.
Deep-dive into your business goals, data landscape, and pain points. We define the problem worth solving before writing a single line of code.
Week 1Design the technical blueprint aligned to your business objectives. Stack selection, data model, integration map, and delivery roadmap with clear milestones.
Week 1–2Agile sprints with regular demos. We ship working software early, incorporate feedback, and adjust — no surprises at go-live.
Weeks 2–8Rigorous QA, data validation, and performance testing before production. Full documentation and knowledge transfer included.
Weeks 6–10Post-launch, we monitor performance, track business KPIs, and continuously improve — acting as your embedded data team for the long haul.
OngoingWe specialise in regulated, data-intensive industries where the cost of bad data is high and the reward for great data is enormous.
Help banks and lending institutions automate credit workflows, improve risk modelling, and meet compliance requirements — without sacrificing speed.
Empower fund managers, advisors, and fintech companies with the data and AI tools to make faster, more confident decisions with full auditability.
Give property businesses, mortgage lenders, and PropTech platforms the analytical edge — from valuations to lead intelligence to automated document workflows.
Most data agencies deliver technology. We deliver results. Every project is framed around revenue, cost, risk, or efficiency — and we track those numbers throughout.
We start every engagement by understanding your P&L, not your data schema. Technology serves strategy — not the other way around.
Our team brings hands-on experience in regulated industries. We know what works in banking and finance — and what creates costly compliance risk.
POCs in 2–4 weeks. Production systems in 8–12. We move fast by building modular, reusable components — not shortcuts.
We embed in your team, attend your planning cycles, and take ownership of outcomes — not just deliverables. We stay until it works.
Systems we build handle growth without costly rewrites. Enterprise-grade architecture, CI/CD, monitoring, and documentation included as standard.
Weekly progress updates, clear milestones, and measurable KPIs defined upfront. You always know exactly where things stand.
Not hypotheticals. These are the outcomes we've driven for businesses like yours.
🏦 Major Bank · Compliance Engineering
The bank was paying over $500,000 per year for a commercial CDIC compliance software. The tool was rigid, hard to customise, and required manual intervention every reporting cycle. We designed and built a fully automated internal replacement — tailored to the bank's exact data structure and regulatory requirements.
🏦 Major Bank · AML & Regulatory Data
The bank's Anti-Money Laundering reporting to Equifax was partially manual, error-prone, and a compliance risk. Late or incorrect submissions carried significant regulatory exposure. We built a fully automated, auditable data pipeline that validates, transforms, and submits AML data on schedule — every time.
🏦 Major Bank · Master Data Management
Customer data was fragmented across multiple core banking systems — duplicates, inconsistencies, and no single source of truth. Downstream reporting, AML checks, and customer service were all affected. We designed and implemented a Master Data Management solution that created clean, deduplicated, governance-ready customer records across the enterprise.
🛡️ Enterprise · PII Detection & Removal
A financial services client needed to scrub Personally Identifiable Information from a large production dataset before sharing it with a third-party analytics vendor. Manual identification would have taken days and introduced human error. We built an automated PII detection and removal pipeline that scanned, flagged, and redacted all sensitive fields — names, emails, phone numbers, NI numbers, account identifiers — in under 15 minutes with a full audit log.
Not sure if an AI or data initiative is worth full investment? Our Rapid Prototyping programme lets you test, learn, and prove business value before committing to a full build.
Orbit Lab was founded with a single conviction: that data and AI initiatives should be judged by their business impact, not their technical sophistication. We've seen too many companies invest in beautiful data platforms that nobody uses — and expensive AI models that don't move the needle.
We exist to change that. We partner with ambitious businesses to design, build, and operate the data systems that genuinely drive growth, efficiency, and competitive advantage.
Every project is scoped around a measurable business outcome. We track ROI alongside delivery.
Data security and privacy are non-negotiable. We follow enterprise security standards on every engagement.
Senior team only. No juniors running your production data systems.
We deliver on time, communicate clearly, and escalate problems early — before they become your problem.
Whether you have a defined project or just an idea worth exploring, we'd love to hear from you. We'll respond within one business day.