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BigTree108

AI integration services: language models in your product and systems

AI integration services that add large language models from OpenAI, Anthropic, Google and Mistral, or open-weight models you host, to the software you already run: summaries, drafting, classification, extraction, semantic search and in-product assistants in .NET, Java, Python, Node.js and PHP applications, AI features in SaaS products and AI-first MVPs, and AI steps inside your CRM, ERP and help desk, with dedicated AI developers for your team or the integration delivered end to end.

Integrations we build

  • AI features in existing applications

    Summaries, drafting, classification, translation and smart search added to a .NET, Java, Python, Node.js or PHP application with Microsoft.Extensions.AI, the Vercel AI SDK or the provider’s own SDK, and structured output validated like any other input.

  • AI in SaaS products

    In-product assistants and AI features that respect each tenant’s data and permissions, with usage metered per customer so the features can be priced and limited.

  • AI-first MVPs

    A new product built around a language model, from the first prototype to a launch on a stack that carries the next version, with prompts, the evaluation set and the cost per user tracked from the first day.

  • Model gateway

    Calls to OpenAI, Anthropic, Google, Mistral, Azure, Amazon Bedrock and self-hosted models routed through one gateway, such as LiteLLM or your own, with retries, rate limits, caching and a budget per feature.

  • AI in business systems

    Language model steps inside your CRM, ERP, help desk and document management: emails classified and routed, records enriched, replies drafted and fields extracted, through each system’s API.

  • Semantic search

    Search that understands meaning across products, tickets or documents, with embeddings in PostgreSQL with pgvector, Azure AI Search or Elasticsearch next to the keyword search you already have.

  • Image and content generation

    Product images, ad variations, catalogue descriptions and localised marketing copy generated to your brand rules by language models and by image models such as FLUX, GPT Image and Google’s Nano Banana, with a review step before anything is published.

  • Cost, latency and quality monitoring

    Every request logged with its model, tokens, latency and price, quality scored against an evaluation set on every change, and alerts when spend or error rate moves.

  • Data protection

    Personal data redacted before it reaches a model that does not need it, business APIs whose terms exclude training on your inputs, and EU or US data residency where the provider offers it.

Hire AI developers

  • Dedicated AI developers

    AI developers who join your team full time, work in your tools and process, and report to your lead. You interview them; we carry the Ukrainian contract, payroll, invoicing and leave.

  • AI integration projects

    A defined piece of AI integration with a scope, a fixed plan and a named lead on our side who owns the result and reports progress in your channels.

  • Ongoing AI integration

    AI integration as a continuing service: the same people every month, a backlog you prioritise, and hours you can see in our portal and on the invoice.

The dedicated team page explains how specialists join your team, and the outsourcing page covers project delivery, take-overs and how we charge.

Who works on your AI integration

  • AI developers

    LLM APIs, prompts, structured output and evaluation

  • .NET, Java, Python and Node.js engineers

    The application the feature lives in

  • Front-end engineers

    Streamed responses and AI interfaces

  • DevOps engineers

    Gateways, secrets and monitoring

  • QA engineers

    Evaluation sets and end-to-end tests

AI added like any other dependency

An AI feature is code in your repository, reviewed and tested like the rest: the provider behind one interface, prompts versioned with the code, output validated before it is used, and an evaluation set that runs in the pipeline so a prompt change cannot quietly make answers worse.

We work in your codebase and your cloud, beside your developers or in place of a team you do not have yet. Our largest practice is .NET on Azure, and the engineers who build APIs every day add the AI features to them.

Other AI development services we provide

AI development overview

Questions about AI integration

Can you add AI to our application without a rewrite?

Yes. Most AI features are a new call from code you already have: a summary on a record page, a draft in an editor, a classification on an incoming message. We add them behind a feature flag, measure them on your data and roll them out to users in steps.

Will our data be used to train someone else’s model?

No. We use business APIs whose terms exclude training on your inputs, from OpenAI, Anthropic or Google directly or through Azure and Amazon Bedrock, or open-weight models hosted in your own cloud when the data must not leave it.

Which model do you use?

The least expensive one that passes your evaluation set, from OpenAI, Anthropic, Google or Mistral, or an open-weight model you host. The provider sits behind one interface in the code, so moving to a newer or cheaper model is a configuration change and a re-run of the evaluation, not a rewrite.

What will the AI features cost each month?

We estimate it from your volumes before the build: requests per day, tokens per request and the model each step needs. After launch every request is logged with its price, and caching, smaller models for simple steps and shorter context keep the bill predictable.

How quickly can AI developers start?

When the right AI developer is available, the start is gated only by your interview and the NDA and IP assignment. Otherwise we run a search, which typically produces candidate profiles within two to three weeks, and nobody starts until you have said yes.

How do we hire AI developers through BigTree108?

Tell us the work, the seniority and the hours you need. We propose one or two people with their profiles, you interview them the way you would interview your own hire, and you sign one agreement with BIG TREE 108 LLC and receive one invoice a month.

Who owns the work they produce?

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.

Want AI features in your product?

Tell us the application, the feature and who will use it. You get an answer within one business day: a plan, an estimate of running costs, or candidate profiles.

Email hello@bigtree108.com How we respond