Services

Engineering services for the AI era.

Nine focused practices, one senior team. We pick the smallest set of moving parts that solves your problem and ship them well.

AI Development

Custom ML models, LLM-powered features, autonomous agents and decision automation tailored to your domain.

  • →Model design & training
  • →LLM/RAG pipelines
  • →Agentic workflows
  • →Evaluation & monitoring

Computer Vision

From defect detection on production lines to medical imaging — we ship vision systems that hold up in the real world.

  • →Object detection
  • →OCR & document AI
  • →Visual inspection
  • →Edge deployment

NLP & Sentiment

Language understanding for classification, summarisation, search, voice and conversational interfaces.

  • →Sentiment analysis
  • →Semantic search
  • →Chat & voice agents
  • →Translation & summarisation

Big Data

Robust pipelines, lakehouses and analytics that turn raw signals into decisions you can defend.

  • →ETL/ELT pipelines
  • →Data warehousing
  • →Streaming systems
  • →BI dashboards

Knowledge Systems

Knowledge graphs, ontologies and expert systems for high-stakes reasoning in complex domains.

  • →Knowledge graphs
  • →Ontology design
  • →Expert systems
  • →Reasoning engines

Bespoke Software

Full product engineering — architecture, design, delivery — for web, mobile and embedded systems.

  • →Web & mobile apps
  • →APIs & micro-services
  • →DevOps & CI/CD
  • →Performance & scale

Cloud & Platform

Reliable cloud foundations on AWS, Azure or GCP — designed for cost, scale and clarity.

  • →Cloud architecture
  • →Infrastructure as Code
  • →Kubernetes
  • →FinOps

MLOps & Security

Production-grade ML lifecycle, governance, observability and secure-by-default delivery.

  • →Model deployment
  • →Drift monitoring
  • →Pen-testing
  • →Compliance audits

Team Augmentation

Plug senior engineers into your team — onsite or remote — for as long as you need them.

  • →AI engineers
  • →Data scientists
  • →Full-stack devs
  • →Tech leadership
How we deliver

A four-stage delivery model.

Every Talee engagement runs on the same rhythm — discover, design, build, operate. The depth of each stage adapts to the problem, but the structure does not.

01

Discover

Two-week diagnostic. We map the problem, the data, the systems and the constraints. You get a written brief and a recommended path.

02

Design

Architecture, evaluation criteria and delivery plan. We commit to outcomes and a budget envelope before writing production code.

03

Build

Two-week iterations with working software at every checkpoint. Code reviewed by senior engineers. Tests, runbooks and metrics from day one.

04

Operate

Production launch with monitoring, on-call rotation and a clear hand-over. We stay on retainer or hand the keys over cleanly.

Engagement models

Pick the shape that fits your problem.

Abstract circuit illustration representing Talee's engineering delivery capability

Project delivery

Fixed-scope, fixed-team builds with a defined outcome and a clear hand-over. Best when the problem is well-understood.

  • Fixed budget envelope
  • Senior delivery lead
  • Documented hand-over

Embedded squad

A senior pod embedded into your engineering org for a quarter or longer. We work in your tooling, your rituals and your codebase.

  • 3–8 engineers
  • Quarterly rolling
  • Your tech stack

AI residency

A staff-plus AI engineer or research scientist embedded part-time to advise, prototype and review.

  • 1–3 days/week
  • Architecture & review
  • Hiring support

Managed retainer

Ongoing operation of systems we've built — or inherited — with SLAs, on-call and continuous improvement.

  • 24/7 on-call
  • Defined SLAs
  • Quarterly reviews
Technology

A pragmatic, modern stack.

We pick the right tool for the job. The list below is what we reach for most often — but we work in whatever your team already uses.

Languages6
AI / ML6
Data6
Cloud6
Frontend6
Observability6
Neural network visualisation representing the AI technologies in Talee's stack
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
FAQ

Questions we hear often.

How do you price engagements?

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Most projects are scoped as a fixed budget envelope per quarter. Embedded squads and retainers are billed monthly. We share day rates upfront — no hidden change-order culture.

Do you sign NDAs and DPAs?

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Yes, on every engagement. We routinely operate under client paper, including for regulated finance, healthcare and public-sector clients.

Can you work in our existing codebase and tools?

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Always. We adapt to your stack, version control, ticketing and review process. We are not a black-box delivery shop.

What if we don't know exactly what we need?

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Start with a discovery sprint. Two weeks, fixed price, written deliverables. If we then build together, the cost is credited.

Discuss your project