Sales & lead agents
Qualify inbound leads, research accounts and draft personalised outreach.
- Lead scoring and enrichment
- Meeting booking
- CRM hygiene
AI engineering · custom software since 2013
We build AI systems that do real work.
Dixeam designs, builds and runs AI agents, RAG, private LLM deployments and AI-powered products, plus the custom software around them. Use cloud models, self-hosted models or a hybrid architecture based on your privacy, quality, latency and cost requirements.
100+ products shipped for startups and enterprises
Example agent run, simplified
13+years building software
100+products delivered
10+senior engineers in-house
AI Agent Development
Agents that don't just chat. They act.
An AI agent plans a task, calls your tools and APIs, checks its own work and hands off to a person when it should. We build them on production-grade foundations so they're reliable, auditable and affordable to run.
- Connected to your systems: CRM, ERP, helpdesk, databases and internal APIs, through secure tool-calling and MCP servers.
- Human-in-the-loop by design: approval steps for anything risky, with a full audit trail.
- Measured, not guessed: automated evaluations, guardrails and cost tracking from day one.
- Model-agnostic: Claude, GPT, Gemini or self-hosted open-weight models, chosen per task for quality, privacy, latency and cost.
MessageChat, email, WhatsApp
EventNew lead, ticket, order
ScheduleDaily or hourly jobs
The agent Plan → Act → Check
Tools it can useLLMReasoning
MemoryContext & RAG
GuardrailsPolicy & limits
Your APIsCRM, ERP, DB
CommsEmail, Slack, SMS
Web & docsSearch, files
Human approval for risky actions → result & audit log
Customer support agents
Resolve common tickets end-to-end and route the rest with a ready-made summary.
- Order, refund and booking lookups
- Multilingual, 24/7
- Escalation to your team
Operations agents
Handle the repetitive back-office work between your systems.
- Invoice and document processing
- Reporting and reconciliation
- Data entry across tools
Services
From AI idea to shipped product
We build complete AI products, not just the model layer: agents, RAG, SaaS, apps, cloud infrastructure and the data systems behind them.
Most requested
AI Agent Development
Single and multi-agent systems that plan, use tools and complete real tasks across your stack, with humans in control.
Learn moreGenerative AI & LLM Integration
Add copilots, smart search, summarisation and extraction to the product you already have, without a rewrite.
Learn moreRAG & Knowledge Assistants
Assistants that answer from your documents, wikis and databases, with sources cited.
Learn moreAI Workflow Automation
Turn manual, multi-step processes across email, CRM and spreadsheets into reliable automations.
Learn moreConversational & Voice AI
Chatbots, WhatsApp assistants and voice receptionists that book, answer and follow up.
Learn moreAI-Powered SaaS Development
Scalable, multi-tenant SaaS platforms and marketplaces, with AI built into the core.
Learn moreCustom Web & Mobile Apps
Fast, accessible web apps, PWAs and iOS/Android apps, our core craft since 2013.
Learn moreCloud, DevOps & MLOps
AWS architecture, containers, CI/CD, and LLM monitoring and cost control in production.
Learn moreNot sure where AI fits yet?
Our AI Consulting & Discovery sprint reviews your workflows, identifies practical AI use cases and gives you a clear view of effort, cost and expected value.
Industries
AI built on real domain knowledge
We've shipped products in these industries for over a decade. Here's what AI agents can do in each one.
E-commerce
Sell more and answer faster, without adding headcount. We've built marketplaces, Shopify apps and custom stores, so we know the data.
- AI product search & discoveryNatural-language search that understands intent.
- Order & returns agentTracks orders, processes returns and updates customers.
- Catalog content at scaleProduct descriptions, attributes and translations.
Travel & Hospitality
From booking platforms like AcceptHotels to guest messaging, we automate the busiest parts of the guest journey.
- Guest concierge agentAnswers questions and handles changes 24/7 in any language.
- Booking assistantSearches availability and books across channels.
- Review & pricing insightsSummarises reviews and flags pricing opportunities.
Real Estate & Home Rental
We built end-to-end listing and leasing platforms like Realty Texas. AI now handles the busy work behind them.
- Lead qualification agentQualifies buyer and renter enquiries and books viewings.
- Listing generatorTurns photos and notes into polished listings.
- Lease document assistantExtracts key terms and drafts tenant replies.
Healthcare
Privacy-first AI that reduces admin load. Quantimodo, our ML health analytics project, taught us how sensitive this data is.
- Patient intake & schedulingCollects details and books appointments by chat or phone.
- Clinical note summariesDrafts structured notes for clinicians to review.
- Health data insightsFinds patterns across tracking and outcome data.
Finance & Accounting
Accurate, auditable automation for document-heavy finance teams.
- Invoice & receipt processingExtracts, validates and posts entries to your ledger.
- Reconciliation agentMatches transactions and flags exceptions for review.
- Report narrativesTurns monthly numbers into plain-language summaries.
Selected work
Products we've helped launch
AI · ML 
Moara
An AI-powered research platform that streamlines literature reviews from discovery to synthesis, with an AI agent that summarizes papers, identifies themes, finds gaps and compares findings.
Read case studyAI · ML 
Blackwise
An AI-powered search and discovery platform focused on optimizing results relevance through machine learning while avoiding invasive data collection.
Read case studyAI · ML 
Quantimodo
An automated personal analytics engine that could assimilate data from across tracking sources, and then process it through machine learning to match associated interventions and health outcomes over time.
Read case study
Spending Crow
A personal finance and budgeting app to track spending, create smart budgets, manage multiple wallets and currencies, and gain insights through customizable reports.
Read case studyHow we deliver AI
A clear path from idea to production
We use a staged process from discovery to production, with checkpoints to test the idea, review results and adjust scope before scaling.
Discover
Map workflows, data and goals. Pick the use case with the clearest return.
~1 weekProve
A working proof of concept on your real data, measured against agreed success criteria.
2–4 weeksBuild
Production agent or product: integrations, UI, security and human-approval flows.
6–12 weeksEvaluate
Automated evaluations, guardrails and red-team tests before every release.
Every releaseScale
Monitoring, cost optimisation and new capabilities as usage grows.
Ongoing
Tech stack
Modern AI, proven engineering
We pick the right model and deployment for each workload: managed APIs, self-hosted models or a hybrid of both.
AI & agents
- Anthropic Claude
- OpenAI GPT
- Google Gemini
- Llama, Qwen & open-weight LLMs
- Private / self-hosted inference
- Model Context Protocol (MCP)
- LangGraph
- LlamaIndex
- pgvector
- Pinecone
- n8n
- Langfuse
Product engineering
Python
Django
PHP
Laravel
JavaScript / TypeScript
React
Next.js
Angular- Node.js
- Flutter
- AWS
- Docker & Kubernetes
Ways to work with us
Start small. Scale when it works.
AI Proof-of-Concept Sprint
- One high-value use case
- Working prototype on your data
- Evaluation report and production plan
Fixed-Scope Project
- Clear deliverables and timeline
- Daily and weekly progress reports
- Launch support included
Dedicated Team
- AI, full-stack and QA engineers
- Works inside your tools and sprints
- Scale the team up or down
Security & IP
Your data, your code, your product
AI projects can touch sensitive data. We design the data path and deployment model around your security, privacy and operational requirements.
NDA from day one
Your idea and data stay confidential before we write a line of code.
You own the IP
All design, code, prompts and models we build belong to you.
Your deployment choice
Run self-hosted models in your infrastructure, use approved managed AI APIs, or combine both in a hybrid architecture.
Guardrails & audit logs
Every agent action is logged, limited by policy and reviewable.
How much does it cost to build an AI agent?
It depends on the number of integrations, the risk level and the volume. Most clients start with a fixed-price 2–4 week proof-of-concept sprint, so you see real results before committing to a full build. We'll give you a clear estimate after a free discovery call.
Which AI models do you use?
We're model-agnostic. We work with managed models such as Claude, GPT and Gemini and self-hosted open-weight models such as Llama and Qwen. We choose per workload based on quality, privacy, latency and cost, and design integrations so models can change later.
Is our data safe? Will it be used to train AI models?
Data handling depends on the architecture we agree with you. Sensitive workloads can use self-hosted models and private RAG inside your infrastructure; other workloads can use approved managed AI APIs under their applicable enterprise data controls. We document where data is processed and keep access scoped to the systems required.
Can AI work with our existing software?
Yes. Most of our AI work plugs into systems clients already use: CRMs, ERPs, helpdesks, databases and custom Laravel, Django or Node apps. If an integration doesn't exist yet, we build it.
Do you still build regular web, mobile and SaaS products?
Absolutely. Custom web, mobile and SaaS development has been our core since 2013, and it's what makes our AI work production-ready. You can hire us for either, or both.
What happens after launch?
We monitor quality, uptime and AI costs, fix issues quickly and keep improving the product. Support and maintenance plans are available for every project.
Let's talk