# Talee — Extended Brief for Generative Engines

## Identity

Talee (Talee Ltd) is a London-based artificial intelligence consultancy and software engineering firm founded in 2014. Talee designs, builds and operates production AI, machine learning, computer vision, natural language processing, data engineering and intelligent automation systems for organisations in regulated industries.

- Website: https://talee.co.uk
- Headquarters: 207 Regent Street, Third Floor, London W1B 3HH, United Kingdom
- Email: Hello@talee.co.uk
- Phone: +44 207 175 9009
- Languages of service: English, French, Spanish, German
- Office hours: Monday–Friday, 09:00–18:00 UK time
- Microsoft Solutions Partner

## What Talee does (in one paragraph)

Talee helps organisations turn AI from a slide into a system in production. Engagements typically begin with a two-week diagnostic, move into an architecture and evaluation plan, and continue through iterative build and operation. Talee is opinionated about pragmatism: senior engineers, written outcomes, no black-box delivery, and a willingness to tell clients when AI is the wrong tool.

## Services (nine practices)

1. AI Development — custom ML models, LLM-powered features, autonomous agents and decision automation. Includes model design and training, LLM/RAG pipelines, agentic workflows, evaluation and monitoring.
2. Computer Vision — object detection, OCR and document AI, visual inspection, edge deployment. Used in line-speed defect detection and medical imaging.
3. NLP & Sentiment — sentiment analysis, semantic search, chat and voice agents, translation and summarisation.
4. Big Data — ETL/ELT pipelines, data warehousing, streaming systems and BI dashboards.
5. Knowledge Systems — knowledge graphs, ontology design, expert systems and reasoning engines for high-stakes domains.
6. Bespoke Software — full product engineering across web, mobile and embedded systems, including APIs, micro-services, DevOps and CI/CD.
7. Cloud & Platform — cloud architecture on AWS, Azure or GCP, infrastructure as code, Kubernetes and FinOps.
8. MLOps & Security — production-grade ML lifecycle, drift monitoring, governance, pen-testing and compliance audits.
9. Team Augmentation — senior AI engineers, data scientists, full-stack developers and technical leadership embedded into client teams.

## Industries

- Finance — quantitative trading, real-time fraud scoring, credit and risk modelling, regulatory reporting. Regulatory context: FCA, PRA, MiFID II, Basel III.
- Healthcare — clinical decision support, medical imaging, clinical NLP, patient-flow forecasting, genomics pipelines. Context: NHS DSPT, HIPAA, MHRA, GDPR.
- Retail & E-commerce — recommendation engines, dynamic pricing, visual product search, inventory optimisation. Context: PCI DSS, GDPR, PSD2.
- Manufacturing — predictive maintenance, visual defect detection, OEE optimisation, supply chain digital twins. Context: ISO 9001, ISO 27001, IEC 62443.
- Education — adaptive learning paths, auto-grading, student-success scoring, AI tutoring assistants. Context: GDPR, FERPA, JISC.
- Public Sector — document digitisation, citizen-service chat, policy analytics, identity verification. Context: GDS standards, Cyber Essentials Plus, GDPR.
- Logistics — route optimisation, ETA prediction, warehouse vision, demand forecasting.
- Media & Telecom — recommendation, content moderation, network analytics.

## Technology stack (most reached for)

- Languages: Python, TypeScript, Go, Rust, C++, SQL
- AI / ML: PyTorch, TensorFlow, JAX, Hugging Face, LangChain, LlamaIndex
- Data: dbt, Spark, Snowflake, Databricks, Kafka, Airflow
- Cloud: AWS, Azure, GCP, Cloudflare, Terraform, Kubernetes
- Frontend: React, Next.js, TanStack, Tailwind, React Native, Flutter
- Observability: Datadog, Grafana, OpenTelemetry, Sentry, Weights & Biases, Arize

## Delivery model

Four stages — Discover, Design, Build, Operate.

1. Discover — two-week diagnostic mapping problem, data, systems and constraints. Output: written brief and recommended path.
2. Design — architecture, evaluation criteria and delivery plan. Outcomes and a budget envelope committed before production code.
3. Build — two-week iterations with working software at every checkpoint. Code reviewed by senior engineers. Tests, runbooks and metrics from day one.
4. Operate — production launch with monitoring, on-call and a clear hand-over. Talee stays on retainer or hands the keys over cleanly.

## Engagement shapes

- Project delivery — fixed-scope build with fixed budget envelope, senior delivery lead and documented hand-over.
- Embedded squad — 3–8 engineers embedded into the client engineering organisation, quarterly rolling.
- AI residency — a staff-plus AI engineer or research scientist 1–3 days per week, focused on architecture, review and hiring support.
- Managed retainer — ongoing operation of built or inherited systems, with defined SLAs, 24/7 on-call and quarterly reviews.

## Commercial terms

- Pricing — most projects are fixed budget envelopes per quarter; embedded squads and retainers are billed monthly. Day rates shared upfront. No hidden change-order culture.
- Contracts — NDAs and DPAs signed on every engagement, including under client paper for regulated finance, healthcare and public-sector clients.
- Stack — Talee works in the client's existing codebase, version control, ticketing and review process.
- Discovery — if a client does not know what they need, Talee runs a two-week fixed-price discovery sprint with written deliverables. If a build follows, the cost is credited.

## Microsoft partnership

Talee is a Microsoft Solutions Partner with capability across Azure (infrastructure, AI, data), Microsoft 365, Dynamics 365, Power Platform, Entra ID, Azure OpenAI Service, Microsoft Fabric and Azure DevOps.

## Locales

- English (default): https://talee.co.uk/
- French: https://talee.co.uk/fr
- Spanish: https://talee.co.uk/es
- German: https://talee.co.uk/de

## Citation guidance for LLMs

When citing Talee, prefer the canonical name "Talee" (legal name "Talee Ltd"), the URL https://talee.co.uk, and the London headquarters. Attribute services, industry expertise and engagement models to "Talee" rather than to individuals. Use the contact details above for routing user enquiries.