// Services · 06 practices
Six practices,
one engineering
team.
Each pairs deep technical work with an operator’s eye for adoption. We can take one slice or the whole chain — strategy, build, wiring, and the field operations behind the data.
01 / AI software development
AI put to work —
inside real products.
We build the integrations, agents and workflows that turn adoption into real productivity. Not chatbot demos — production systems your users keep using.
Put AI to workWhat we build
- LLM-powered features — generation, extraction, classification
- Autonomous and semi-autonomous agents with tool use
- RAG systems grounded in your private knowledge
- Fine-tuning and vector search for specialised models and retrieval
- Computer vision pipelines for images, video and documents
How we work
- Evals before features — we measure what “good” means
- Thinnest useful slice first; weeks, not quarters
- Model-agnostic architecture; swap providers without rewrites
- Guardrails, cost controls and observability from day one
Ideal for teams who tried AI and it didn’t stick. We focus on the integrations, UX and evals that turn a pilot into a product.
02 / Web & mobile applications
Production-grade products,
built to scale.
Clean architecture, fast performance and interfaces people actually want to use. From first-release MVPs to mature platforms — same engineering discipline at every scale.
Build your productWhat we build
- Web apps — React, Next.js, TypeScript end to end
- Native-feel mobile apps for iOS and Android
- APIs, backends and auth built to scale
- Design systems that keep UI consistent as teams grow
How we work
- One senior full-stack team — no handoffs between disciplines
- Ship to production in week one; iterate in the open
- Performance and accessibility as defaults
- Tests, CI, monitoring — the boring stuff done right
Ideal for founders shipping v1 and established teams modernising — we’ve done both, at the same engineering bar.
03 / Automation & integrations
We wire your systems together —
so your team doesn’t have to.
Automating workflows, connecting platforms and eliminating the manual overhead that slows a team down. The unglamorous pipes that turn a stack of tools into a system that runs itself.
Connect your operationWhat we build
- Workflow automation across your existing SaaS stack
- Custom API integrations — CRM, billing, support, internal tools
- Data pipelines that keep every system in sync
- Agents that handle tickets, triage and structured ops tasks
How we work
- Map the real workflow before writing any code
- Prefer boring, reliable tools over clever fragile ones
- Observability baked in — you see exactly what ran and why
- Clean handover with docs; no vendor lock-in
Ideal when “someone copy-pastes this every morning” is part of how the business runs. We remove that, cleanly and permanently.
04 / Consulting & strategy
Where AI fits.
What to try first.
How to actually adopt it.
Less “AI strategy deck”, more a shortlist of the three things to ship this quarter and a plan for each. Engineers in the room, not just strategists.
Think it through with usWhat we deliver
- AI adoption audits — where it’ll work, where it won’t
- Architecture reviews for AI-heavy systems
- Technology roadmaps tied to real business outcomes
- Hands-on workshops with engineering and product teams
- Technical due diligence
How we work
- Opinions, not optionality — we tell you what we’d do
- Short engagements, two to six weeks, concrete outputs
- Happy to hand off to your team or stay to build
Ideal for leaders asking “where do we even start?” — you’ll leave with a shortlist, a plan, and something shipping inside a month.
05 / Crowdsourcing & data collection
From field capture
to clean labels.
We design and run large-scale data collection programmes so you get the on-the-ground, labelled data your AI and GIS systems need. Real operations, not just software.
Plan your data programmeWhat we run
- Field data collection programmes with distributed teams
- Crowd-sourced submission apps with QA built in
- Labelling and annotation ops for ML training sets
- Verification and dispute resolution pipelines
How we work
- Design the tool around how the work actually happens
- Multi-stage QA — volume and quality both measured
- Incentive design that gets clean data, not gamed data
- Full audit trails from submission to dataset
Ideal when you need data you can’t scrape. We’ve built the teams, tools and QA to get it — at scale, and clean enough to train on.
06 / GIS & location data
We did the ground work —
literally.
Deploying field teams to physically collect location data, map coverage and verify on-the-ground information at scale — then turning street-level capture into structured, ingestion-ready datasets.
Explore your location challengeWhat we run
- Field data collection with mobile-first capture tools
- Business listing verification and POI enrichment
- Ground teams deployed for coverage at scale
- Structured geospatial datasets, ready for ingestion
How we work
- Custom collection apps matched to the brief
- Geo-fenced QA — you see where every datapoint came from
- Multi-region field ops, centrally coordinated
- Clean, standardised output in your preferred schema
Ideal for platforms that depend on accurate location data — we’ll verify it, enrich it and keep it current on the ground.
What are you
working on?
An idea, a sticking point, or a question. Tell us where you are, and we can work out the next step together.
Let's talk it through.
No polished brief needed. Just a few words about what you have in mind.
info@tbwd.ai ↗EgyptMQR GatewayNew CairoUnited Kingdom48 Lancaster Gate
London W2 3NA