Building Smarter Futures with Advanced AI Solutions
Let’s talkIntelligent Automation & AI Integration
Smarter AI, Faster Impact, Endless Possibilities.
At Hexawiz, we build AI-integrated software solutions that enhance the intelligence and efficiency of your applications. Our AI-driven approach helps businesses automate processes, extract insights, and deliver smarter user experiences. Whether it’s AI-powered chatbots, predictive analytics, NLP-based automation, or machine learning models, we seamlessly integrate AI to optimize your software and drive innovation. Let’s make your software smarter, together!
What we deliver
Build products on large language models such as GPT, Claude, Gemini and Llama: content generation, summarisation, copilots and assistants built into your own software.
Discuss this with usAgents that take on multi-step work across your tools: triaging tickets, processing orders, updating records and handing off to people when judgement is needed.
Discuss this with usCustomer support and internal helpdesk assistants on web, WhatsApp and Slack that answer from your own content and escalate to your team.
Discuss this with usSearch and question answering over your documents, policies and databases, with answers that cite their sources and respect user permissions.
Discuss this with usSeamlessly integrate AI capabilities into your existing systems and workflows: CRMs, ERPs, portals and mobile apps.
Discuss this with usRead invoices, contracts, forms and emails automatically: extract fields, classify, translate and route them without manual data entry.
Discuss this with usGain actionable insights from your data with advanced machine learning models, and ask questions of your dashboards in plain language.
Discuss this with usForecast demand, sales and churn, score leads and flag risk or fraud early, with models trained on your own history.
Discuss this with usDevelop solutions for image and video analysis, including facial recognition, object detection, quality inspection and OCR.
Discuss this with usSpeech-to-text, transcription and voice assistants, from meeting notes and call analysis to clinical scribing.
Discuss this with usProduct, content and next-best-action recommendations that adapt to each user and lift engagement and sales.
Discuss this with usAssess where AI pays off, fine-tune and evaluate models, then deploy, monitor and govern them in production with cost and privacy under control.
Discuss this with us
Resources
Intelligent Automation & AI Integration in practice
Case studyAI-powered medical scribe SaaSAn AI medical scribe that turns live consultations into structured clinical notes, letters and referrals in seconds.Read the case study
InsightAI agents for business: what they can safely automate todayAI agents can now plan steps and use your tools. Here is how to pick the right first workflow, set permissions and keep a person in the loop where it matters.Read article
EventHexawiz leadership at GoogleOur leadership team was exclusively selected by Google for Startups to take part in the invitation-only Gemini API Sprint.Event details
InsightRAG explained: AI answers from your own documentsRetrieval-augmented generation lets an AI assistant answer from your policies, manuals and data, with sources. How it works, where it fails and how to build it well.Read article
InsightModel Context Protocol (MCP): what it is and why it mattersMCP is the open standard for connecting AI assistants and agents to your tools and data. What it does, how teams use it and the security questions to ask first.Read article
InsightHow to test AI features: evaluations that catch problems earlyYou cannot unit-test a language model the usual way. A practical guide to evaluation sets, automated grading and monitoring for AI features in production.Read article
InsightAI chatbots for customer support: a launch checklistAn AI support assistant can answer around the clock, but only if it is scoped, grounded and honest about handing over. A practical checklist before you go live.Read article
InsightHow to reduce LLM API costs without hurting qualityAI features that are cheap in a demo can be expensive at scale. Proven ways to cut language model costs: routing, caching, batching and leaner prompts.Read article
Benefits
- We own the outcome. Scoping, building, launching and staying on afterwards. If it breaks at 2am in the first month, that is still our problem.
- Estimates you can plan around. We would rather give a number we can hold than a number that wins the pitch. That includes saying when something should not be built.
- Boring where it counts. Proven tools for the load-bearing parts, new ones where they genuinely earn their place. Your platform is not our R&D budget.
- Written down, not remembered. Decisions, tradeoffs and runbooks live in the repository. Handover is a document, not a meeting you have to re-run.
- One team, your process. Our experts work in your repository, your board and your standups where that makes sense. No parallel universe of status reports.
- Honest about the hard parts. Slipping timelines, wrong calls and things we underestimated get raised early, with options attached.