Software · Data · AI · Building systems
Resolution over noise.
Bytescope Tech designs and builds the software, data platforms and AI systems that enterprises actually run on — from the first architecture sketch to the on-call rota. Architect-led, small teams, no layers between you and the people writing the code.
- Practice
- Software, data, AI, IoT
- Engagement
- Sprint, pod or white-label
- Coverage
- IST · CET · EST overlap
- First response
- Two working days
What we do
Six practices, one delivery team.
6 capabilitiesMost of our work crosses at least two of these. The data platform is what makes the AI feature possible; the BMS integration is what makes the energy model worth building. We staff accordingly.
AI, LLM & GenAI
Retrieval systems, agents and copilots with an evaluation harness attached, so you can tell whether the model got better or just got louder.
What this looks like Capability02Data engineering & science
Ingestion, warehouse and semantic layers that survive schema drift, plus the forecasting and scoring models that sit on top.
What this looks like Capability03Custom software
Line-of-business systems, integrations and legacy modernisation — the unglamorous software that decides whether an operation runs.
What this looks like Capability04SaaS product engineering
Multi-tenant products from first release to the scale where tenancy, billing and noisy-neighbour problems start to bite.
What this looks like Capability05BMS, IoT & digital twin
BACnet and Modbus estates pulled into one data plane: energy, HVAC, access and asset telemetry you can actually query.
What this looks like Capability06Cloud & DevSecOps
Landing zones, pipelines, scanning and the on-call setup — so release day stops being an event.
What this looks likeHow we work
From first conversation to steady state.
Signal pathThe same five stages whether the engagement is three weeks or three years. What changes is how long you spend in each one.
Calibrate
Two to five days with the people who do the work. We leave with a written problem statement, a constraints list and the numbers that decide success.
Architect
A reference architecture, an interface contract and a build sequence — costed, with the risky part scheduled first, not last.
Build
Small pods, two-week increments, demoable software every time. Your team can sit in the repo from day one.
Instrument
Logs, traces, model evaluations, data quality checks and dashboards ship with the feature, not after the incident.
Operate
Hypercare, runbooks and a handover your own engineers can accept — or we keep the pager. Your call.
Selected work
Problems we were brought in to solve.
Case studiesCutting a 240-store chain's stockouts with a forecast the buyers trust
A hierarchical forecast, a promo-aware feature store, and a replenishment workflow the category team could override — because a model nobody overrides is a model nobody uses.
Read the case studyShipping firmware to 6,000 imaging consoles without a truck roll
A signed, resumable, rollback-safe update channel for regulated ultrasound hardware on hospital networks that block almost everything.
Read the case studyTurning 40,000 support calls a month into a product backlog
Diarised transcription, an LLM extraction pipeline with a graded evaluation set, and a review console where quality leads correct the model in place.
Read the case studyIndustries
Where the domain knowledge is already paid for.
6 sectorsWe are not sector-agnostic. In these six we know the regulations, the file formats and the failure modes, which is the difference between a six-week discovery and a two-day one.
Retail & consumer
Forecasting, pricing, store operations and the reconciliation nobody wants to own.
Where we fit IndustryHealthcare & med-tech
Device software, clinical data pipelines, HL7/FHIR integration, audit trails that survive inspection.
Where we fit IndustryManufacturing
Line telemetry, visual inspection, OEE, maintenance scheduling and shop-floor UIs built for gloves.
Where we fit IndustryBFSI
Lending data, reconciliation, fraud operations and regulator-facing reporting.
Where we fit IndustryReal estate & facilities
Building management, energy analytics, fit-out documentation and portfolio dashboards.
Where we fit IndustryMedia & publishing
Product analytics, subscription funnels, content pipelines and delivery at spike traffic.
Where we fitEngagement models
Three ways to buy the same engineering.
CommercialsPick the one that matches your procurement, not ours.
Discovery sprint
Fixed fee. You get an architecture note, a risk register and a costed build sequence you can take to any vendor — including one that isn't us.
Delivery pod
A named architect, engineers and a QA lead against your backlog. You see the board, the repo and the burn-down. Scale up or stand down with 30 days' notice.
Ghost development partner
We build under your brand for your client. Your PM stays the face of the engagement; our people join your standups, your repo, your naming conventions.
Insights
Working notes from live engagements.
WritingRetrieval or fine-tuning: a decision you can defend in a steering committee
The question is almost never which one is better. It is which failure mode you can live with, and who owns the data when it changes.
Read PracticeYou cannot ship an LLM feature without an evaluation set
How to build a graded set of 150 examples in a week, wire it into CI, and stop arguing about whether the last prompt change helped.
Read Field noteGetting data out of a building: BMS, BACnet and the gateway question
Why your energy dashboard is stuck at 5-minute averages, and the three-layer architecture that gets you to per-asset detail.
ReadNext step
Tell us what you're trying to ship.
Send the brief, the RFP, or three messy sentences about the problem. You get a written point of view from an architect within two working days — not a sales deck.