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AI & Machine Learning Solutions

Intelligent algorithms and generative AI tools engineered for modern products.

AI & Machine Learning Solutions

About this service

We build custom artificial intelligence models, integrate generative AI APIs, and build intelligent automation loops. From automated content moderation and custom agent workflows to semantic vector search and intelligent recommendation engines, our AI implementations add high-value automation directly into your products.

Orbit AI Agent
User Query
How do we optimize query latency?
Orbit AI response
Applying RAG embedding pruning and caching prompt schemas will reduce latency by 42%.
Semantic Vector Accuracy98.4%
95%
Response Accuracy
80%
Fulfillment automated
<1.2s
Avg token latency
-60%
Operations cost saved
What you get

Features & capabilities

  • Custom LLM integration & fine-tuning (OpenAI, Claude, Llama)
  • Vector databases & semantic retrieval (Pinecone, pgvector)
  • Agentic workflows and multi-agent systems integration
  • Conversational AI interfaces & automated customer agents
  • Natural Language Processing (NLP) & automated document analysis
  • Predictive modeling, classification, and scoring engines
Use cases

Perfect for

AI Customer Agents

Context-aware chatbots that pull info from vector databases and handle user bookings.

Document Automation

Automatically parse and categorize invoices, contracts, and resumes with LLMs.

Recommendation Engines

Custom algorithms delivering tailored products and content recommendations to users.

Semantic Search

High-speed semantic search over thousands of PDFs, articles, and product catalogs.

Our process

How we deliver

01
AI Feasibility & Audit

Identify integration workflows, data availability, and performance limits.

02
Data Engineering

Assemble document stores, design embedding pipelines, and format datasets.

03
Model & Agent Tuning

Build custom agents, write prompts, tune models, and benchmark outputs.

04
Deployment & Monitor

Integrate model routes, monitor token costs, and setup guardrails.

Deliverables

  • Fully integrated AI agents and endpoints
  • Document parser & vector embedding pipelines
  • Prompt management & guardrail infrastructure
  • Cost dashboard & analytics integrations
  • 90 days post-launch support and model optimization

Tools & tech

PythonLangChainOpenAI APIAnthropic APIPineconeNext.jsFastAPI
FAQ

Questions, answered

Do you train models from scratch?+

Usually no — training models from scratch is extremely expensive. We fine-tune existing foundation models (like Llama 3) or integrate powerful APIs (OpenAI, Claude) using Retrieval Augmented Generation (RAG) to keep costs low and accuracy high.

How do you control AI hallucination?+

We apply strict semantic validation, prompt guardrails, structured JSON outputs, and ground model responses in your custom documents using advanced vector search indexes.

What are the hosting costs for AI?+

We optimize for cost by using open-source models, edge hosting where possible, and caching prompt tokens to keep API usage and hosting bills minimal.

Ready to start your ai & machine learning solutions project?

Tell us your goals — we'll come back with a plan, timeline and fixed quote within 24 hours.