1B+
peak requests / day
Trading analytics backend10ms
average latency
Every response under 50 ms1PB+
data unified
Enterprise lakehouse1M
events / second
Real-time streaming + MLSelected results from production systems we have engineered.
Engineering experience forged inside some of the world's most demanding data environments
Tier-1 investment bank
Global financial market-data provider
Global industrial technology group
Government-backed health R&D labs
Sound familiar?
Queries that took seconds now take minutes. Batch windows overrun and SLAs slip every quarter.
Cloud and cluster bills climb faster than usage, and nobody can say exactly where the money goes.
Every department keeps its own copy. Reports disagree and analysts spend days hunting for the right dataset.
Promising models and LLM pilots that never become reliable, monitored, cost-controlled production systems.
Critical systems built years ago, with shrinking expertise and growing operational risk.
The business wants live decisions and instant analytics. The architecture was designed for overnight batch.
Services
Independent, vendor-neutral technical leadership for high-stakes data decisions, before you commit budget.
We make enterprise AI work in production, even when the underlying data and infrastructure are the hard part — not just a working demo.
Secure, fault-tolerant services engineered for high throughput and millisecond responses, in C++, Java or Python.
Lakehouses and batch or streaming pipelines that unify your data and scale to petabytes.
Re-engineer legacy platforms for performance, maintainability and lower run cost, without a risky big-bang rewrite.
Ways to engage
2–3 weeks
Fixed fee
Ideal when: You need clarity on performance, cost or risk before committing budget.
6–24 weeks
Milestone-based
Ideal when: You know what needs building and want it engineered properly.
Ongoing
Monthly retainer
Ideal when: You need senior technical leadership without a full-time executive hire.
Selected work
1B+
requests per day at peak
10 ms average latency, every response under 50 ms
1PB+
data unified
One catalogue for every dataset
10TB+
held in memory
Backing critical risk workflows
1M
events per second
Real-time anomaly alerts
Earlier applied-ML research includes a real-time network intrusion detection system (99% accuracy) and mobile patient activity recognition (92% accuracy).
How we work
No juniors learning on your budget. The engineer who scopes your project is the one who builds it.
We write production code and stay accountable for outcomes, not just recommendations.
No reseller deals or partner quotas. We recommend what fits your constraints and budget.
Clear documentation and knowledge transfer, so your team owns what we build. No lock-in.
Discovery call
30 minutes, free. We learn your context and tell you honestly whether we are the right fit.
Assessment & proposal
A short, fixed-scope review. You get findings, options and a written proposal with a clear price.
Delivery
Hands-on engineering in milestones, with weekly demos and full transparency.
Handover & support
Documentation, knowledge transfer and optional ongoing advisory.
FAQ
Yes. Datayogi Labs Ltd is a UK limited company and we structure engagements as genuine consultancy: defined deliverables, our own methods and tooling, and a right of substitution. The status determination remains yours to make, and we are happy to work through it with you.
Yes. NDAs are standard for every engagement, and we are GDPR-aware in how we handle your data. It is also why our case studies are anonymised.
Health checks are fixed-fee, so you know the cost up front. Build engagements are priced per milestone, and advisory work runs on a monthly retainer. After a discovery call we send a written proposal with a clear scope and price.
We are vendor-neutral and work across the major clouds and open-source ecosystems. Core strengths include C++ and Java for high-performance systems; Python for data engineering and ML; lakehouse, HBase and in-memory technologies for data platforms; streaming and complex event processing; and modern ML and LLM tooling for AI workloads.
Yes, and most engagements work that way. We embed with your engineers, pair on the hard parts and leave behind documentation and skills, so your team can run and extend what we build.
We are UK-based and remote-first, with on-site time in London for workshops and key milestones. We also work with international clients across time zones.
Prefer email? [email protected]