US Benefits Technology
OpenAI
AI Extraction
UiPath
RPA Automation
100%
Automated Workflows
Zero
Manual Errors
Build cutting-edge AI solutions that think, learn, and scale.
From GenAI prototypes to production ML pipelines — we design, train, and deploy intelligent systems as an enterprise AI development company, offering AI automation services, comprehensive AI consulting services, and artificial intelligence development services that automate complex workflows and unlock data-driven decision-making.
8+
AI products shipped
50+
ML models deployed
20 yrs
Engineering legacy
Teams shipping with MetaDesign
Selected work
Case studies.
Australian Employment Platform
LlamaIndex
AI Matching
OpenAI
Data Parsing
Patented
Verification Tech
Scalable
AWS Architecture
Why MetaDesign
Why choose MetaDesign for AI & Automation?
Two decades of enterprise engineering. We build software you own outright — scalable, secure, and future-proof.
Our Approach
AI & Automation: Our Proven Process
01
Discover
We audit your data landscape, map high-impact AI use cases, and define measurable success criteria.
02
Prototype
Rapid prototyping with real data — validate feasibility and model accuracy before committing to full build.
03
Build
Production-grade ML pipelines with MLOps, CI/CD, versioned datasets, and continuous model improvement.
04
Harden
Bias testing, edge-case validation, security review, and performance benchmarks against production traffic.
05
Deploy & monitor
Cloud-native deployment, A/B model serving, drift detection dashboards, and automated retraining loops.
01
Discover
We audit your data landscape, map high-impact AI use cases, and define measurable success criteria.
02
Prototype
Rapid prototyping with real data — validate feasibility and model accuracy before committing to full build.
03
Build
Production-grade ML pipelines with MLOps, CI/CD, versioned datasets, and continuous model improvement.
04
Harden
Bias testing, edge-case validation, security review, and performance benchmarks against production traffic.
05
Deploy & monitor
Cloud-native deployment, A/B model serving, drift detection dashboards, and automated retraining loops.
Customer Value
Why enterprises trust us
with their AI.
Real outcomes our clients report within the first engagement cycle.
Higher automation rates
Eliminate repetitive tasks and free your team to focus on strategic work.
Measurable accuracy
AI models with tracked precision, recall, and F1 scores — not guesswork.
Faster decision-making
Real-time insights and predictions that accelerate business decisions.
Reduced operational cost
Automation that pays for itself within the first quarter.
Production-grade reliability
Guardrails, monitoring, and fallback logic built into every AI system.
Knowledge transfer
Your team learns to maintain and extend AI systems independently.
By the numbers
400+
Engineers worldwide
200+
Active clients
20yr
Pure-play software
94%
Client retention
Engagement models
Three ways to work with our AI & Automation team.
Pick the shape that matches your risk and timeline. We will tell you which one is wrong for your situation — even if it’s the bigger one.
AI & Automation Pod
A dedicated squad of senior engineers, tech leads, and QA delivering milestone-driven results with weekly demos and eval-gated merges.
- Dedicated engineering squad
- Weekly sprint demos
- Fixed monthly cadence
- Direct technical lead communication
Hire AI & Automation Engineers
Senior specialized engineers embedded into your existing team within two weeks. Your stack, your tools, your standups.
- 2-week onboarding ramp
- Time-zone aligned collaboration
- Direct Git & Jira integration
- Flexible monthly contracts
Turnkey / MVP Build
Go from requirements to production-ready launch in 6–10 weeks with fixed scope, upfront pricing, and guaranteed delivery.
- Fixed-price & fixed-scope
- End-to-end architecture & build
- Complete source code ownership
- Post-launch warranty & support
What we ship
Capabilities, end to end.
Automate
- Workflow automation & RPA
- Document processing & OCR
- Email & ticket classification
- Automated data pipelines
- Business rule engines
Build agents
- AI agent development (multi-agent systems)
- Vibe coding & LLM-assisted engineering
- Conversational AI & voice agents
- Autonomous task orchestration
- Tool-use & function-calling agents
Scale
- MLOps & model versioning
- A/B model serving
- Drift detection & retraining
- GPU infrastructure management
- Edge AI deployment
“
They quietly replaced a critical platform under us in eighteen months. We didn't lose a single customer in the cutover. That's the highest compliment I can pay an engineering partner.
Director of engineering
SaaS, post-merger — $50 ARR
FAQ
Asked first, every time.
Don't see yours here? Send us the question — a principal engineer will reply within 24 hours.
Yes. We fine-tune open-source and commercial LLMs on your data with full privacy controls — on-prem or in your own cloud tenant.
Both. We build bespoke multi-agent systems from scratch and also integrate platforms like LangChain, CrewAI, and AutoGen into existing workflows.
We implement guardrails, output filtering, prompt injection defences, and audit trails. SOC 2 and ISO 27001 aligned.
We set up automated drift detection and retraining pipelines so model accuracy stays high without manual intervention.
Yes. We deploy models on-prem using containerised inference servers (vLLM, Ollama, TGI) for clients with strict data residency or latency requirements.
Most PoCs are delivered in 4–6 weeks. We use real data from day one so results are directly indicative of production performance.
Vibe coding uses LLMs to accelerate development — code generation, automated reviews, and test scaffolding. It cuts delivery time while improving consistency.
Most teams are staffed within 1–2 weeks. For specialised AI/ML skills we may need 3–4 weeks.
You do. All intellectual property — models, code, and data pipelines — belongs to you, full stop.
We mitigate hallucinations by strictly implementing Retrieval-Augmented Generation (RAG) architecture, aggressively lowering the model's temperature settings, and enforcing prompt guardrails that require the AI to cite specific internal documents before answering.
Ready to build something exceptional?
Tell us about your project. Our team will respond within 24 hours with a tailored approach and team recommendation.