Clear documentation
Everything your team needs to own, maintain, and extend the work.
- Architecture & API docs
- Runbooks & deployment guides
- Design system references
60 services across twelve practice areas — from TinyML and custom AI to IoT, robotics, software, growth ops, branding, and startup launch.
Pick a practice area to see what we deliver. Each of the twelve hubs links to a full breakdown of scope, deliverables, and outcomes.
Lightweight ML, TinyML solutions, AI engine integration, edge deployment, and model optimization
Intelligence on constrained hardware.
ML that fits on the edge.
Connect models to your product stack.
Ship models where data is born.
Faster inference, lower power.
NLP, computer vision, model training, AI development, and generative AI integration
Language intelligence built for your domain.
See patterns. Act on them.
Models that fit your data and goals.
From prototype to production AI.
Generative AI that ships safely.
Agent implementation, chatbots, IoT integration, data collection, and AI workflow automation
Autonomous agents that get work done.
Conversations that resolve and convert.
Connect devices to intelligent workflows.
Reliable data for smarter automation.
Repeatable work, automated intelligently.
Medical, demographic, and behavioral data capture, legacy migration, and multi-source pipelines
Clinical data captured with compliance built in.
Population insights from structured capture.
Actions and signals turned into usable data.
Old systems, modern data foundations.
Many sources, one reliable flow.
Device integration, smart home and classroom prototypes, light industrial IoT, and remote monitoring
Devices connected, data flowing.
Homes that respond intelligently.
Pilot-ready connected learning spaces.
Shop-floor visibility without complexity.
See status from anywhere.
Arduino, Pi, and MCU dev, PCB prototyping, GPU edge rigs, FPGA builds, and embedded systems design
Rapid boards, real firmware.
From schematic to working board.
Heavy inference at the edge.
Programmable logic, fast iteration.
Reliable systems on custom hardware.
Robotics and computer vision, automation systems, industrial robotics, control engineering, and CAD-to-simulation workflows
Machines that see and act.
Processes that run themselves.
Precision at production scale.
Stable motion under load.
Design, simulate, then build.
Product and industrial 3D modeling, CAD drafting, print prep, simulation assets, and mechanical part design
Accurate models for real products.
Precise drawings, buildable parts.
Models that print reliably.
CAD built for digital rehearsal.
Parts engineered to fit and last.
Custom software, web and mobile apps, e-commerce, and API integration
Software built for your workflow.
Fast, accessible, conversion-ready sites.
Native feel, shared delivery.
Stores that convert and scale.
Systems that talk reliably.
B2B and B2C solutions, cloud, CI/CD pipelines, and QA testing
Platforms built for business buyers.
Consumer products that scale.
Infrastructure that ships reliably.
From commit to production, safely.
Quality gates before every release.
Brand identity, visual design, motion, logo, and UI/UX
A brand system people remember.
Design that drives engagement.
Brand in motion.
Marks that last.
Interfaces people love to use.
Startup strategy, MVP, brand kit, go-to-market, and roadmapping
Clarity before you build.
Ship fast, learn faster.
Launch-ready brand assets.
Launch with a plan.
Roadmaps teams can execute.
A proven rhythm that keeps stakeholders aligned and quality high, whether you need a logo refresh or a multi-year platform rollout.
Workshops, audits, and success metrics so everyone agrees on what done looks like.
Architecture, UX flows, visual systems, and technical specs at each checkpoint.
Agile sprints with demos, transparent backlog, and continuous integration.
QA, performance tuning, handover docs, and optional ongoing support.
Regardless of engagement type, you get the same standard of transparency, quality, and handoff.
Everything your team needs to own, maintain, and extend the work.
No black boxes — you always know status, risks, and next steps.
Testing and reviews built into every phase, not saved for the end.
We set you up for long-term success after go-live.
We combine senior talent, clear communication, and end-to-end ownership, so you spend less time coordinating vendors.
Twelve practice areas — from TinyML and custom AI to software, branding, and startup launch — under one accountable team.
Accessibility, security, and test automation are planned from the start, not bolted on before launch.
Direct access to the people doing the work, not layers of account managers.
Weekly demos, shared backlogs, and honest status updates so you always know where things stand.
Iterative delivery with visible milestones, so you launch faster without cutting corners.
From MVP launches to multi-year platforms, we scale the team and stack to match your stage.
Choose how you want to work with us — from a fixed-scope launch to a long-term squad or advisory partnership.
Defined deliverables, timeline, and budget before build starts.
A cross-functional team embedded with yours for ongoing delivery.
Reserved capacity for releases, support, and continuous improvement.
Senior architects and leads for audits, reviews, and strategy.
Deep experience across regulated and fast-moving sectors — with delivery patterns that match each domain.
Secure platforms, compliance-ready UX, and integrations with payment rails.
Patient portals, clinical workflows, and regulated data handling.
Multi-tenant products, admin consoles, and subscription billing flows.
High-conversion storefronts, inventory sync, and omnichannel experiences.
MVPs, brand kits, and growth-ready architecture from day one.
Legacy modernisation, cloud migration, and long-running programmes.
ROS 2 pipelines, computer vision, PLC integration, and factory automation programmes.
Firmware, microcontroller design, and connected products from prototype to production.
Production ML systems, LLM products, and data pipelines built for real-world scale.
Modern stacks for web, cloud, embedded edge, robotics, and ML — chosen for maintainability and your team’s long-term ownership.
Real delivery across design, digital products, embedded hardware, robotics, and ML — with measurable impact for our clients.
Quantized vision model deployed to an embedded fleet with OTA updates and field monitoring.
Custom NLP pipeline, retrieval layer, and guardrails shipped to production with full observability.
Support agent with RAG, tool use, and CRM handoff — cutting average handle time across tier-1 queues.
Legacy warehouse lift with validation, reconciliation, and zero data-loss cutover to a modern lakehouse.
Fleet provisioning, MQTT telemetry, and live dashboards for a multi-site remote monitoring rollout.
MCU board spun from schematic to assembled prototype with bring-up firmware and bench validation.
Vision-guided robotic cell with sim-validated trajectories deployed to production with safety-rated controls.
Industrial product CAD, simulation-ready assets, and print-validated prototypes for a hardware launch.
Custom web app, admin portal, and payment integrations shipped with CI/CD and production monitoring.
CI/CD, infra-as-code, and observability across staging and production with zero-downtime releases.
Identity, visual system, and UI foundations delivered ahead of a product launch and investor roadshow.
Strategy, MVP build, brand kit, and go-to-market plan shipped with a single accountable squad.
Teams across startups and enterprise trust us for delivery they can count on.
WorkSprout took us from concept to a production-ready MVP in ten weeks. The squad felt like an extension of our team.
They modernised our platform without downtime and left us with CI/CD and docs our engineers actually use.
Brand guidelines delivered ahead of our trade show — polished, consistent, and ready to scale.
Our RAG chatbot went from slide deck to production with monitoring and guardrails. The accuracy gains changed how our support team works.
From discovery to launch, communication was clear and the quality bar was high. We shipped on time without cutting corners.
They integrated with our in-house team seamlessly — same tools, same rituals, and real ownership of the outcomes we cared about.
Quick answers about how we scope, price, and deliver — before you book a consultation.
Start with a free consultation. We map your goals across our twelve practice areas — from TinyML and custom AI to software, branding, and startup launch — and recommend a phased plan.
Yes. We often augment in-house squads, integrate with your design system, or take ownership of specific workstreams while your team focuses elsewhere.
Discovery takes 1–2 weeks. MVPs often ship in 8–12 weeks; enterprise programmes run in quarterly phases. You get a detailed roadmap after discovery.
Absolutely. NDAs are standard. We follow least-privilege access, secure repos, and can align with your compliance requirements (SOC 2, HIPAA-aware workflows, etc.).
We offer fixed-scope quotes, monthly squad retainers, and advisory blocks. Every engagement starts with a clear proposal — no surprise change orders without approval.
We provide handover documentation, optional retainers for monitoring and releases, and can train your team. Many clients stay on a dedicated squad for continuous delivery.
A senior-led squad matched to your stack — typically a lead, designers, engineers, and QA. You meet the core team in week one and work with them directly throughout.
Yes. That is our core model. Brand, UX, engineering, and QA under one roof means fewer handoffs, aligned decisions, and faster delivery.
We regularly join mid-flight engagements. We start with a short audit, stabilise delivery, and put a realistic recovery plan in place — often within the first two weeks.
We overlap with US, UK, and APAC clients. Stand-ups and demos are scheduled to fit your core hours, with async updates in between.
Tell us about your goals. We will recommend the right mix of services and map a clear path from discovery to launch.