✳ AI & DATA. WORKING TOGETHER.
Your language. Your knowledge. Your systems.
AI that turns a customer’s request into work completed.
A conversation that moves work forward.
IN GOOD COMPANY
Meet our clients
THE POSSIBILITIES
Connect the way your business listens, learns, and acts. From a single conversation to your entire data foundation.
01 / Conversational AI
Your customers can ask naturally. Assisto’s own multilingual language model keeps the context, responds in your service style, and calls the tools needed to resolve the request—even while the conversation continues.
02 / Voice & language
Combine our conversational engine with Assisto ASR, AST, and TTS. Understand speech, work across languages, and speak a useful response—with speech capabilities spanning more than 40 languages.
03 / Document intelligence
Extract structured information with our OCR engine, including handwritten text. Then ask complex questions across documents, tables, and illustrations with a RAG engine built for connected reasoning.
04 / Analytics & prediction
Connect inboxes, databases, CRMs, and other business sources. Assisto monitors the information, identifies patterns and correlations, and turns it into actionable insights and smart dashboards.
05 / Data warehouse
An integrated, optimised warehouse that centralises organisational data, processes it efficiently, and supports real-time analytics as your data and workloads grow.
06 / Edge deployment
Run Assisto’s ASR, AST, and TTS models on supported edge devices. Our optimised speech models run on Qualcomm Hexagon and Apple silicon with sub-second latency.
AI IN PRACTICE
In-depth solution case studies on the workflows, design choices, and measures that make AI useful.
All case studiesWhat happens when a customer asks for information and a change in the same sentence? A closer look at parallel tools, permissions, and honest confirmations.
Read the articleDesigning a multilingual voice workflow that turns a field report into a confirmed shipment exception—and makes failed submissions unmistakable.
Read the articleFollowing a handwritten freight query through OCR, table extraction, and cross-document reasoning—without turning a discrepancy into an invented conclusion.
Read the articleWhy a useful revenue signal needs more than days-in-stage: joining customer email, opportunity records, and source freshness before deciding what needs attention.
Read the articleResolving conflicting definitions before centralising data—and designing a warehouse that can serve sales, finance, and operations without erasing their differences.
Read the articleWhere on-device speech processing helps, which operations still need the network, and how to evaluate responsiveness on the hardware that will actually ship.
Read the articleINDUSTRY APPLICATIONS
Select your industry to see where conversations, documents, and connected data can make a practical difference.
Appointment preparation, service information, and patient navigation often involve repeated questions across languages. An assistant can provide approved administrative guidance and direct clinical or urgent questions to qualified staff.
Manufacturing teams need production, quality, and supply information in a usable form. Connect operational sources to dashboards and make approved procedures easier to retrieve at the point of work.
Bring together catalogue, transaction, and inventory signals to improve product discovery and planning. Conversational support can resolve routine questions while analytics helps teams identify demand changes.
Financial and insurance services involve dense documents and sensitive information. Document intelligence and guided conversations can help teams retrieve approved answers and prepare cases for review.
Connect customer conversations with service knowledge to improve routing and resolution. Speech analytics and operational dashboards can help supervisors find repeated issues and focus quality reviews.
Field teams work with distributed assets and detailed procedures. Searchable technical knowledge, voice-based information access, and analytics can help surface context when teams need it.
Transport operations depend on timely updates across teams. Voice interfaces and connected analytics can make status reporting easier and give coordinators a clearer view of exceptions.
Supervisors cannot manually review every interaction. Searchable transcripts and targeted review queues can help teams investigate recurring issues, improve coaching, and understand customer questions.
Shipment information often moves through calls, messages, and separate systems. A connected workflow can turn a field update into a structured exception and route it to the appropriate coordinator.
Distributed operations need a consistent view of sales, stock, and supply. Data integration and analytics can support planning while searchable procedures help teams access approved guidance.
Multilingual assistants can guide people to published services and requirements. Document search and analytics can also help internal teams work with large information collections.
Passenger service and ground operations rely on information from many systems. Assistants can help with approved service queries while dashboards bring operational exceptions into view.
Engineering teams need to locate documentation, understand internal processes, and monitor delivery. Knowledge assistants and connected reporting reduce the effort of assembling this context.
Infrastructure teams work with monitoring streams, procedures, and incident records. A connected analytics and knowledge layer can help teams investigate exceptions and retrieve relevant runbooks.
YOUR NEXT CHAPTER
Bring your business challenge. We’ll bring AI, data, and a practical way forward.
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