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Read More →OpenMalo builds custom generative AI applications powered by GPT-4o, Claude 3.5 Sonnet, Gemini 1.5, and open-source LLMs — grounded in your proprietary data through RAG pipelines and fine-tuning. Our Melbourne AI engineering team has delivered 60+ GenAI projects for Australian enterprises, including intelligent document processors, AI writing assistants, autonomous agents, and multi-modal applications.
We evaluate every major model against your specific use case, latency requirements, context window needs, cost profile, and data privacy constraints. We are not tied to any single vendor — we recommend the model that genuinely fits your requirements best.
We build RAG (Retrieval-Augmented Generation) systems that retrieve relevant context from your documents, databases, and knowledge bases before generating a response — dramatically reducing hallucinations and ensuring answers are grounded in your actual business information.
Yes — we design fine-tuning pipelines on your labelled datasets and Supervised Fine-Tuning (SFT) workflows for open-source models (LLaMA 3, Mistral, Phi-3). This produces domain-specific accuracy and a brand-consistent tone that generic models cannot replicate.
We deploy open-source LLMs (LLaMA 3, Mistral, Phi-3) on your own AWS, Azure, or on-premise GPU infrastructure via vLLM or Ollama. No data leaves your environment. For API-based models, we review data retention policies and implement PII scrubbing before any data leaves your systems.
We implement constitutional AI guardrails, source citation with confidence scoring, output validation layers, semantic similarity thresholds for RAG retrieval, and human-in-the-loop review queues for high-stakes decisions. Hallucination rates are measured and reported in pre-production evaluation.
Yes — we specialise in adding GenAI capabilities to existing systems: smart search to your website, an AI assistant to your CRM, document summarisation to your DMS, or intelligent drafting to your ERP. Integration is handled via clean, versioned APIs with no disruption to existing workflows.
We configure LangSmith, Arize AI, or Weights & Biases for real-time output quality scoring, latency tracking, token cost monitoring, and anomaly detection. You receive weekly dashboards showing accuracy trends, user feedback signals, and cost-per-query metrics.
All GenAI solutions comply with the Australian Privacy Act 1988, the CSIRO Data61 AI Ethics Framework, and relevant sector regulations (APRA CPG 234, TGA where applicable). We conduct bias audits, implement explainability layers, and document model decisions for regulated industries.
OpenMalo has delivered 60+ production generative AI projects for Australian enterprises, government agencies, and scale-ups — ranging from intelligent document processors that extract structured data from unstructured legal contracts, to autonomous AI agents that research, draft, validate, and submit regulatory reports without human intervention. Our Melbourne AI engineering team includes former research scientists who have published in top ML venues and engineers with production experience deploying LLMs at scale.
We go significantly beyond simple API integration. We architect multi-stage RAG pipelines with hybrid semantic-lexical retrieval, design fine-tuning workflows on proprietary datasets, build robust prompt engineering systems with automated regression testing, and deploy production-ready GenAI applications with the data sovereignty controls Australian businesses operating under the Privacy Act 1988 require. Every engagement includes a model evaluation report, hallucination rate baseline, and cost projection before development begins.
Tell us about your project and we'll respond within 24 hours.
AI-powered document extraction, classification, summarisation, and Q&A for enterprise document workflows — contracts, invoices, compliance reports, and technical manuals processed at scale.
Learn More →Multi-step autonomous agents completing complex business tasks — research, drafting, validation, approval routing, and reporting — with human-in-the-loop checkpoints where required.
Learn More →Automated content creation systems for marketing copy, product descriptions, compliance reports, and personalised customer communications — trained on your brand voice and style guide.
Learn More →Enterprise search using vector embeddings and RAG that understands meaning and intent, not just keywords — replacing legacy full-text search with contextually intelligent retrieval.
Learn More →Applications combining text, image, audio, and video AI capabilities using GPT-4o Vision, DALL-E 3, Whisper, and Sora — for quality control, content creation, and accessibility tools.
Learn More →Add generative AI capabilities to your existing software, mobile app, or website via clean, versioned API integrations — with rate limiting, cost controls, and output caching built in.
Learn More →Industry-leading tools and frameworks chosen for performance, scalability, and long-term maintainability.
We run a structured AI discovery workshop to define the GenAI use case, data sources, privacy requirements, and success metrics — then evaluate and benchmark candidate models against your specific data before selecting the architecture.
We design and prototype the retrieval pipeline, vector store schema, embedding strategy, or fine-tuning dataset — building a working proof of concept that demonstrates measurable accuracy before full development begins.
Iterative development with rigorous automated evaluation measuring accuracy, relevance, hallucination rate, and latency against baseline benchmarks. Every sprint includes an output quality report showing measurable progress.
Production deployment with real-time output quality monitoring via LangSmith or Arize AI. We deliver a documented retraining schedule and model version management plan so the system improves over time rather than degrading.
Consistently rated as a top technology company in Australia — backed by verified client reviews on Clutch and GoodFirms.
We sign an NDA before any discussion. All IP belongs to you — no shared code, no reuse on completion.
Access to project management tools, weekly progress reports, and live sprint demos throughout delivery.
Melbourne and Sydney offices with real people you can meet in your time zone. Invoiced in AUD.
Agile delivery with fortnightly demos so you see progress, give feedback, and stay in control at every sprint.
We don't just deliver and disappear. Structured post-launch support and ongoing development partnerships available.
"OpenMalo delivered exactly what we needed — on time, on budget, and with a level of quality that exceeded our expectations. The team communicated brilliantly throughout."
"The technical quality and attention to detail from the OpenMalo team is outstanding. Our users love the end product and our business metrics improved significantly post-launch."
"Fast, reliable, and professional. OpenMalo understood our requirements immediately and delivered a solution that has genuinely transformed how we operate. Highly recommended."
Intelligent conversational AI chatbots for customer support, lead qualification, and internal helpdesks.
Explore →Strategic AI readiness assessments, ROI modelling, and prioritised implementation roadmaps.
Explore →Custom ML models for prediction, classification, anomaly detection, and recommendation at scale.
Explore →Natural language processing for document extraction, entity recognition, and text analytics.
Explore →Robust APIs to expose your GenAI capabilities securely to other systems and applications.
Explore →AWS, Azure, and GCP infrastructure for scalable, cost-optimised AI deployment and monitoring.
Explore →Common questions about our generative ai development services.
Ask Us Anything →Get a free GenAI consultation from our Melbourne team — we respond within 24 hours with a model recommendation and architecture proposal for your use case.
Local teams across Australia backed by a global delivery centre — giving you the best of both worlds.
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