AI for People
Assistants that help your teams find information and finish work, inside the tools they already use and within existing permissions.
We build with
Capabilities
AI, software and infrastructure
AI, software and infrastructure
under one team.
An AI system is only as good as the engineering around it. We cover the model work and the software, cloud, security and data work that makes it usable in production.
AI Agents & Agentic AI
Goal-driven agents that call your tools and complete multi-step work under guardrails.
ExploreGenerative AI & RAG
Grounded answers and generation from your approved content, with citations.
ExploreAI Voice & Conversational
Phone and chat agents that resolve enquiries and book work into your systems.
ExploreCustom Software Development
Applications shaped around your process, with code and infrastructure you own.
ExploreWeb & Mobile Applications
Storefronts, portals and cross-platform mobile apps built to be maintained.
ExploreCloud & DevOps
Infrastructure as code, pipelines and monitoring your team can operate.
ExploreCybersecurity
Application, API, cloud and AI security review and hardening.
ExploreData & Enterprise Integration
Pipelines, dashboards and integrations that keep systems consistent.
Explore
AI First
What AI-first transformation
What AI-first transformation
actually means.
It is an operating decision, not a technology purchase: routinely asking whether a workflow belongs to a person, to plain code, or to a model with oversight — and having the engineering capability to act on the answer.
AI for Processes
Intelligent automation of the repetitive, multi-system workflows that currently need a person to carry work between steps.
AI for Products
AI capability built into your customer-facing applications and SaaS platforms, where it genuinely differentiates the product.
Method
Explore AI First
How a use case reaches production
- Evaluate the use case
We look at volume, rule stability and tolerance for error, and tell you whether AI is the right tool or whether plain code is cheaper.
- Validate feasibility
We check the data actually exists, is accessible and is good enough, before anyone commits to a build.
- Build a proof of concept
A narrow build on your real data with an agreed quality bar, so the decision to proceed is evidence-based.
- Integrate
Connect it to the systems the work touches, reusing your authentication and permission model.
- Deploy and monitor
Staged rollout with evaluation in CI, cost and latency dashboards, and a rollback path.
Agentic AI services
Six ways agentic AI
Six ways agentic AI
earns its place.
We start from the workflow, not the model. Each engagement targets a specific, high-volume job where an agent measurably beats the status quo.
01
Autonomous workflows
Custom AI Agents
Goal-driven agents that plan, call your tools and complete real multi-step work with human oversight.
Explore service 02 Revenue and serviceVirtual Sales & Support Agents
Always-on digital agents that answer, qualify, book and resolve across WhatsApp, web, voice and email.
Explore service 03 Grounded answersRAG & Knowledge Systems
Retrieval systems that answer strictly from your approved documents, with citations and no invention.
Explore service 04 Operations at scaleAgentic Process Automation
End-to-end business processes run by cooperating agents across the tools you already pay for.
Explore service 05 Conversational telephonyVoice AI Agents
Natural-sounding phone agents that handle calls, qualify callers, book appointments and log outcomes.
Explore service 06 Production foundationsAI Integration & Platform Engineering
The engineering under the intelligence: APIs, data pipelines, evaluation, security, cost control and monitoring.
Explore service
Flagship product
SIZH Virtual Agent —
SIZH Virtual Agent —
your digital sales &
support team.
One virtual agent trained on your business, live on WhatsApp, your website, voice and email. It answers in seconds, qualifies properly, books the meeting and resolves the repetitive work — then hands over to your team with full context.
01
Sales enquiry handling
Responds in seconds, qualifies against your criteria and books the demo before interest cools.
02
Customer support deflection
Resolves the repetitive majority from approved content and escalates the rest cleanly.
03
Virtual receptionist
Covers nights, weekends and peaks so no call or message is missed.
04
Appointment and service booking
Takes the booking, confirms it and sends the reminders.
- Trained on your catalogue, pricing, policies and documents
- WhatsApp, website chat, voice, email and social inboxes
- Lead capture, qualification and meeting booking
- Tier-1 support resolution with approved-source answers
- CRM, helpdesk and calendar synchronisation
- Human handover with a written conversation summary
Use cases
All 30+ use cases
Where agents pay for themselves.
Sales & Revenue
Agents that respond first, qualify properly and keep the pipeline moving.
- Inbound lead response
- Outbound prospecting agent
- Proposal and quote generation
Customer Support
Resolution rather than deflection, with clean escalation when a person is needed.
- Tier-1 ticket resolution
- Ticket triage and routing
- Order and delivery status
Operations & Back Office
The coordination work that quietly consumes your team's week.
- Invoice and document processing
- Data entry and reconciliation
- Procurement and vendor follow-up
HR & Recruitment
Hiring and people operations without the administrative drag.
- CV screening and shortlisting
- Interview scheduling agent
- Candidate communication
Finance & Compliance
Accuracy, evidence and audit trails — the areas where guessing is unacceptable.
- Accounts payable automation
- Collections and dunning agent
- Expense policy checking
Marketing & Content
Production capacity and research depth, inside your brand rules.
- Content production agent
- SEO research and briefs
- Product catalogue enrichment
Architecture
How we build
How we build
AI solutions.
The layers stay consistent; what sits in each one is chosen per use case. We do not force every project through a single stack, and we will use plain code wherever it is cheaper and more reliable than a model.
-
01
Business data & knowledge
Your databases, documents, wikis, tickets and transactional records — the sources an answer or action must be grounded in.
-
02
Processing, retrieval & integrations
Ingestion, chunking, embedding, hybrid retrieval and the API connections into the systems that hold the truth.
-
03
Models, prompts & orchestration
Versioned prompts, task-appropriate model routing and durable orchestration of multi-step work.
-
04
Tools, APIs & workflow execution
Typed tools under scoped credentials, so the system can take real action idempotently rather than only describe one.
-
05
Security, permissions & approval
Permission-aware retrieval, least-privilege credentials, approval gates on consequential steps and full audit logging.
-
06
Monitoring, evaluation & improvement
Evaluation sets in CI, tracing, cost and latency dashboards, drift alerting and a defined rollback path.
By business need
All solutions
Start from the outcome you want.
AI-Powered Customer Support
Resolve the repetitive majority of enquiries from approved content, around the clock.
ExploreAI Sales & Lead Qualification
Answer every enquiry in seconds, qualify against your criteria and book the meeting.
ExploreWhatsApp Business Automation
Sales, support, bookings and notifications on the channel your customers already use.
ExploreAI Voice Calling & Virtual Receptionists
Answer every call, take the booking, log the outcome and transfer when a person is needed.
ExploreEmail Marketing Automation
Behaviour-triggered sequences with content production and consent enforced in the sending path.
ExploreWorkflow Automation
Multi-system processes that complete without a person carrying work between steps.
Explore
Our products
We don't only build for clients.
All products
We don't only build for clients.
We ship our own products.
Live
Mobility platform
RideOn
A ride-hailing and fleet management platform, now with agentic dispatch, driver support and demand intelligence.
View product
Live
Multivendor marketplace
UniBooker
A configurable multivendor service-booking marketplace with agentic onboarding, matching and support.
View product
Live
Classifieds marketplace
Classify
A classifieds marketplace with agentic listing creation, moderation and buyer-seller matching.
View product
How to work with us
Four ways to buy.
Four ways to buy.
Pick what fits.
Most clients start with a pilot to prove the case, then move to a production build. Others simply hire our engineers and direct the work themselves.
Agent Pilot
Prove it works on your data before you commit.
One workflow, one agent, built on your real data with a genuine go/no-go decision at the end. The fastest honest answer to “will this work for us?”
- Discovery workshop on one workflow
- Working agent on your real data
- Measured accuracy against your quality bar
- Written recommendation — including "do not build this"
Production Build
An agent your team can depend on in production.
Full build of a production agent: integrations, guardrails, evaluation, monitoring and handover. Scoped and priced up front against agreed milestones.
- Everything in the Pilot
- Live integrations into your systems
- Guardrails, escalation and approval gates
- Evaluation suite and monitoring dashboard
- Deployment into your environment
- Team training and documentation handover
Dedicated Team
Engineers who work as part of your team.
Named engineers assigned to you, working your hours in your tools. You direct the roadmap; we supply the capability. One week minimum.
- Named engineers you interview first
- Blocks of hours from one week upward
- Daily written progress updates
- Your tools, your process, your timezone overlap
- Full code and IP ownership
Managed Agents
We keep your agents healthy and improving.
Monitoring, quality review, tuning and cost control for agents already in production — plus a reserved block of hours for improvements each month.
- Continuous quality and accuracy monitoring
- Prompt, tool and model tuning
- Cost and latency optimisation
- Defined response-time commitment
- Monthly performance report
Why clients pick us
Engineers who have
Engineers who have
shipped and supported.
We built, sold and ran eight commercial platforms before we built agents for anyone else. That shapes how we scope, test and hand over.
We scope narrowly, on purpose
A narrow agent that reliably owns one job beats a broad assistant that demos well and fails on Monday. We would rather ship one agent that works than five that need babysitting.
We will tell you not to build it
If a rules engine or a plain integration is cheaper and more reliable, we say so on the first call. We have talked clients out of AI projects — it is why they come back.
Measured before it reaches a customer
Every agent ships with a fixed evaluation set and an agreed quality bar. We can tell you how often it is right, with evidence, before you go live.
We are product builders, not consultants
We have built, sold and supported eight commercial platforms. We know what breaks at 3am, because we have been the ones fixing it.
We work with the stack you have
Agents connect to the CRM, ERP, helpdesk or legacy system you already run — through APIs, webhooks or bridges where no API exists.
We stay after launch
An agent is a system to run, not a project to finish. Monitoring, tuning and cost control continue once the build is done.
Works with your stack
Agents plug into
Agents plug into
what you already run.
We connect to your CRM, helpdesk, ERP and channels through their APIs — and build bridges where no API exists.
CRM & Sales
Support
Channels
Commerce & ERP
Productivity
Data
How we work
From one workflow
From one workflow
to production.
Systems fail when they are built as demos. We build them as systems — scoped, evaluated, monitored and owned. Security, maintainability and integration are part of the architecture, not a phase before launch.
01
Phase 01 · Inception
Discovery
Process walkthroughs, data review, constraints and a written scope you sign off before build.
Written scope & constraints sign-off
02
Phase 01 · Inception
Architecture
Data model, integration boundaries, hosting and the security model, agreed up front.
Security model, IAM & data boundaries
03
Phase 02 · Execution
Proof of concept
A narrow build on your real data against an agreed quality bar, so the go-ahead is evidence-based.
Evidence-based quality bar validation
04
Phase 02 · Execution
Development
Two-week increments, each ending in a working deployment and a review.
Two-week working incremental releases
05
Phase 02 · Execution
Testing
Automated coverage on critical paths, evaluation sets for AI behaviour, acceptance testing with your users.
Automated eval benchmark sets & UAT
06
Phase 03 · Production
Deployment
Staged rollout into your infrastructure with monitoring and a tested rollback path.
Production rollout & tested rollback paths
07
Phase 03 · Production
Monitoring & support
Quality, cost and latency tracking after launch, with handover documentation or an ongoing retainer.
Latency, cost & drift tracking with SLA
★
Client Standard
100% Code & IP Ownership
You own all code, configurations, evaluation sets and documentation. Zero proprietary lock-in, with clean handover or ongoing retainer.
Full IP transfer guaranteed
Industries
Sector-specific workflows,
All industries
Sector-specific workflows,
not generic promises.
Transportation & Mobility
Agentic dispatch, conversational booking and passenger service for mobility operators.
Explore sectorMarketplaces
Provider onboarding, listing assistance, moderation and two-sided support agents.
Explore sectorReal Estate
Enquiry qualification, viewing scheduling and listing generation at portfolio scale.
Explore sectorE-commerce & Retail
Pre-sales advice, order self-service, returns handling and catalogue enrichment.
Explore sectorFood & Hospitality
Voice order taking, reservations, reminders and guided upsell without aggregator fees.
Explore sectorProfessional Services
Intake qualification, document Q&A, scheduling and internal knowledge assistants.
Explore sectorHealthcare & Clinics
Appointment booking, reminders, triage intake and patient follow-up with human oversight.
Explore sectorLogistics & Field Service
Route planning, proactive status updates, exception handling and technician support.
Explore sector
Selected work
Product thinking.
All work
Product thinking.
Production discipline.
01
Mobility product
RideOn
A connected ride-hailing system spanning customer journeys, driver operations and fleet administration.
02Marketplace platform
UniBooker
A multivendor booking foundation for businesses offering services through a shared marketplace.
03Classifieds product
Classify
A structured marketplace that helps sellers publish listings and buyers discover relevant offers.
04Culture & entertainment
Teatro Nacional Eduardo Brito
A public-facing digital experience for a nationally recognized performing arts venue.
Questions
What people ask us
What people ask us
before they start.
What is an AI agent, in practical terms?
An agent is software that is given a goal, a set of tools it may use and rules it must follow. Rather than answering one question, it plans the steps, calls your systems, and either completes the work or escalates with context. The difference from a chatbot is that an agent takes action.
How long does a first agent take to build?
A working proof of concept on your real data typically takes one to three weeks. A production deployment with integrations, evaluation and monitoring is usually four to ten weeks depending on how many systems it must touch.
Will the agent invent answers?
We build retrieval-grounded systems that answer from your approved sources with citations, and we test them against a fixed question set before launch. Where the agent is not confident, it says so and escalates rather than guessing.
Where does our data go?
We design the data boundary with you first. Options range from provider APIs with no-training commitments to deployment inside your own cloud account. Retrieval is permission-aware, so the agent cannot surface what a user may not see.
Can agents work with our existing systems?
Yes. Agents connect through APIs, webhooks, databases or RPA where no API exists. We have integrated CRMs, ERPs, helpdesks, calendars, payment systems and bespoke legacy platforms.
What does it cost to run?
Running cost is driven by conversation or task volume and the models used. We route each task to the cheapest model that passes your quality bar, cache aggressively and give you a cost dashboard, so spend stays predictable.
What is the minimum engagement for hiring a developer?
One week — a 40-hour block with a dedicated engineer. From there you can extend into monthly, quarterly or ongoing retainer arrangements.
Do we own the code?
Yes. You own all code, prompts, configuration and documentation we produce for you, and we hand over the repositories and infrastructure at the end of the engagement.