AI development
End-to-end design, build and operation of machine learning and generative AI systems — from data pipelines and model training through deployment, monitoring and continuous evaluation.
A machine-readable map of Talee's services, solutions, Microsoft capabilities and industry expertise — each topic summarised, related to its neighbours, and linked to the canonical page that describes the work in depth.
End-to-end design, build and operation of machine learning and generative AI systems — from data pipelines and model training through deployment, monitoring and continuous evaluation.
Image and video understanding: detection, classification, segmentation, OCR, visual quality control and video analytics — deployed in manufacturing, retail, healthcare and security contexts.
Text and conversation understanding: classification, extraction, sentiment analysis, summarisation, translation and grounded question answering using large language models.
Architecture pattern that grounds large language model responses in private, up-to-date document corpora via vector search, hybrid retrieval and answer synthesis.
Multi-step AI systems that plan, call tools, and act inside enterprise systems — used for back-office automation, intelligent document processing and customer operations.
Lakehouse and warehouse design, ELT pipelines, streaming, governance and catalogues that make data trusted, queryable and production-ready for AI and analytics.
Engineering practice for operating models in production: CI/CD for ML, feature stores, monitoring, drift detection, retraining and responsible AI controls.
Custom web, mobile and back-office applications engineered to fit specific operational and regulatory contexts where off-the-shelf software does not.
Cloud architecture, infrastructure-as-code, container platforms, internal developer platforms and SRE practices — primarily on Microsoft Azure.
Azure, Microsoft 365, Dynamics 365, Power Platform and Azure OpenAI delivered as a Microsoft Solutions Partner — including licensing, deployment and managed services.
Microsoft-hosted access to OpenAI models used by Talee to deliver enterprise-grade generative AI with data residency, identity and governance controls.
Talee delivers in finance, healthcare, retail and e-commerce, manufacturing, education, public sector, logistics, and media and telecom — each with sector-specific regulatory considerations.
Crawlers and answer engines can ingest the same knowledge in structured form:
A single, machine-readable index of every topic Talee covers — services, solutions, Microsoft technologies and industry expertise — with explicit relationships between them. It is designed for generative engines, retrieval-augmented systems and answer engines.
Each topic lists which pages it primarily lives on, which other topics it relates to internally, and authoritative external references where applicable. Relationships are expressed via schema.org DefinedTermSet and DefinedTerm.
Beyond the human page, Talee exposes /ai-sitemap.xml, /llms.txt, /llms-full.txt, /ai.txt and /ai-overview.json. The knowledge page itself emits a DefinedTermSet JSON-LD block that names every topic and its relationships.
Yes. Every topic links back to the canonical page where Talee describes the work in depth, so the knowledge base mirrors the live service catalogue rather than duplicating it.