Data and AI development
Data and AI development services: machine learning, computer vision and MLOps, generative AI applications and AI agents, data annotation for training and evaluation, data engineering on Databricks and Snowflake, event streaming with Kafka, workflow and AI automation, analytics and BI in Power BI, Tableau and Looker, and database development on relational and NoSQL engines. Dedicated specialists for your team, or projects delivered end to end.
Data and AI services we provide
Each page covers the work we take on, the ways to work with us and the questions clients ask first.
AI and machine learning
AI and machine learning development services: forecasting, fraud detection, recommendation systems, computer vision, NLP and speech recognition, and MLOps, with dedicated machine learning engineers or project delivery.
Generative AI development
Generative AI development services: RAG over your documents, AI agents, chatbots, LLM features, document processing, fine-tuning, evaluation and voice agents, with dedicated AI developers or project delivery.
Data engineering
Data engineering services: ETL pipelines, Spark, dbt and streaming, warehouses and lakehouses on Snowflake, Databricks, BigQuery, Redshift and Microsoft Fabric, with dedicated data engineers or project delivery.
Data analytics and Power BI
Data analytics and Power BI services: dashboards in Power BI, Tableau and Looker, product analytics, A/B testing, financial and marketing reporting, with dedicated data analysts and BI developers or project delivery.
Database development
Database development and administration services: schema design, query tuning, migrations and backups on SQL Server, PostgreSQL, MySQL, Oracle and MongoDB, with dedicated database developers and DBAs or project delivery.
Computer vision development
Computer vision development services: object detection, visual inspection, OCR, video analytics, medical imaging and models on edge devices, with dedicated computer vision engineers or project delivery.
Data annotation
Data annotation and labelling services for AI: image, video, text, audio and LiDAR labelling, RLHF and evaluation data, with quality control on every batch, from dedicated data annotators or project delivery.
MLOps
MLOps services and consulting: ML platforms, CI/CD for models, model registries, serving and autoscaling, GPU infrastructure, drift monitoring and LLMOps, with dedicated MLOps engineers or project delivery.
Databricks development
Databricks development and consulting: lakehouse set-up, Lakeflow pipelines, Unity Catalog, migrations, AI/BI, machine learning and cost control, with dedicated Databricks engineers or project delivery.
Snowflake development
Snowflake development and consulting: warehouse design, Snowpipe and Openflow ingestion, dbt, migrations, Cortex AI, security and cost control, with dedicated Snowflake developers or project delivery.
Kafka and event streaming
Apache Kafka development and consulting: event-driven architecture, Kafka Connect and Debezium, Flink and Kafka Streams, Confluent Cloud, MSK and Event Hubs, with dedicated Kafka engineers or project delivery.
Workflow automation
Workflow and AI automation services: n8n, Make, Zapier and Power Automate flows, AI agents in workflows, CRM, finance and document automations, with dedicated automation developers or project delivery.
Covered elsewhere on the site
Python development
Python backends, data pipelines, AI agents and vector-database work, on AWS or Azure, delivered by engineers we hire and interview for exactly that stack.
Django and FastAPI development
Django and FastAPI development services: web applications, REST APIs, AI and LLM back ends, data pipelines, fintech and e-commerce platforms and Django upgrades, with dedicated developers or project delivery.
Cloud and DevOps
Azure Functions, Azure SQL with Always Encrypted, Terraform for every resource and GitHub Actions pipelines, with drift detection and cost control built in from the start.
One team from the database to the model
The work can cover the whole path: the operational database, the event streams and pipelines that move its data, the warehouse or lakehouse and the reports on top, the labelled data and the models trained on it, and the AI features and automations that use the same data. Or we take one part of it, next to the people you already have.
Pipelines, models, reports and schemas live in Git and reach production through a pipeline with their tests. Infrastructure is defined in Terraform, secrets come from a vault, dependencies stay on current releases, and nothing is changed by hand in production.
Personal data is kept out of places it does not need to be: masked or pseudonymised outside production, encrypted where it is sensitive, readable only by the roles that need it, and sent to an AI provider only under terms that exclude training on it.
Data we run in production ourselves
Our own company runs on a platform we built for hiring, onboarding, contracts, time tracking, leave, compensation and invoicing, on .NET, Angular and Azure. Its schema changes ship as migrations through the pipeline, its personal and financial columns are Always Encrypted, and the hours logged in it are the same figures that produce each invoice. Read the case study.
Questions about data and AI work
Which data and AI services do you provide?
Machine learning for forecasting, fraud detection, recommendations, language and speech; computer vision for detection, inspection, OCR and video analytics; MLOps to keep models in production; generative AI applications such as AI agents, chatbots, retrieval over your documents, fine-tuning and evaluation; data annotation, from image, video and LiDAR labelling to RLHF and evaluation data; data engineering on Databricks, Snowflake, BigQuery, Amazon Redshift and Microsoft Fabric, with event streaming on Kafka; workflow and AI automation in n8n, Make, Zapier and Power Automate; analytics and BI in Power BI, Tableau and Looker, including product analytics; and database development and administration on SQL Server, PostgreSQL, MySQL, Oracle, MongoDB and Redis.
Which industries do you do data and AI work for?
AI and data products; fintech, for fraud and risk models, payment event streams and regulatory reporting; e-commerce and retail, for recommendations, demand forecasts, visual search and sales dashboards; healthcare, for medical imaging, clinical text and patient records; manufacturing, for visual inspection and sensor data; advertising and marketing technology, for bidding, attribution and event data; enterprise SaaS, for usage analytics, automations and AI features inside the product; and logistics, for tracking data and delivery reporting.
Where should we start: the data or the AI?
With the question you want answered and the data that already exists. A short assessment shows whether the data supports a model today, whether a report or an assistant over your documents would pay back sooner, or whether pipelines have to come first. You get that answer in writing before any larger commitment.
Do you work in our cloud and our accounts?
Yes. Pipelines, models and databases run in your Azure, AWS or Google Cloud subscription, under your access controls and on your bill. Our people get access through your identity provider, and it is removed when the work ends.
Who owns the models, pipelines and reports you build?
You do. Every specialist has a signed contract with BigTree108 that assigns all work product to the company, and our agreement with you assigns it onward. Code, designs and documents are delivered into your own repositories and tools, not kept where only we can change them.
Have data or an AI idea to work on?
Tell us what you want to know, predict or automate, and where the data lives. You get an answer within one business day: a plan, a recommendation on where to start, or candidate profiles.