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Designed in California

AI Solutions for Business

AI Solutions for Business

From a single AI chatbot to a full multi-agent automation platform - we design, build, and deploy AI systems that create measurable business impact.

Discuss Your AI Use CaseSee Pricing
  • 50+AI projects live
  • GPT-4oClaude 4 · Gemini
  • 2–16 wkstime to production
  • $1kstarting price

Capabilities

AI Services We Provide

We cover the full AI implementation stack - from model selection to production deployment.

  • AI Chatbots

    Knowledge-base chatbots powered by RAG - answer customer questions from your documents, 24/7, on any channel.

  • AI Agents

    Autonomous agents that use tools, take actions, and complete multi-step tasks: lead qualification, support, research, content generation.

  • AI-Powered Features

    Add AI capabilities to your existing product: smart search, content generation, recommendation engine, or sentiment analysis.

  • Document Intelligence

    Extract structured data from PDFs, contracts, and invoices. Automate document classification, review, and processing at scale.

  • LLM Integration & Fine-tuning

    Connect GPT-4o, Claude, or Gemini to your product via API. Fine-tune models on your data for specialized domain tasks.

  • AI Strategy Consulting

    Identify the highest-ROI AI use cases in your business, evaluate build vs buy, and create a practical implementation roadmap.

Stack

AI Technology Stack

  • GPT-4o
  • Claude 4
  • Gemini 2.5
  • LangChain
  • LangGraph
  • OpenAI Assistants
  • Pinecone
  • Weaviate
  • PostgreSQL pgvector
  • Python
  • FastAPI
  • Node.js

Standards

How We Approach AI Projects

  1. Start with the problem, not the technology - model selected to fit your use case

  2. Prototype first - you test before we build the production system

  3. Your data stays on your infrastructure - no LLM data sharing without consent

  4. Cost estimation included - we model token costs before you commit

  5. Human-in-the-loop design for high-stakes decisions

  6. Full observability - every LLM call logged, traced, and auditable

  7. Incremental delivery - each capability shipped and tested independently

  8. Handoff-ready - your team can extend the system after delivery

Case files

AI Projects We Delivered

AI systems generating measurable ROI in production.

Document AI

Document intelligence for a microfinance company - loan processing 45 min to 4 min

  1. Challenge

    A microfinance company was manually reviewing loan applications with 12 attached documents each: income certificates, IDs, employment letters, bank statements. A loan officer took 45 minutes per application.

  2. Solution

    Document intelligence pipeline: GPT-4o extracts structured data from all document types, cross-validates fields, flags discrepancies, and generates a decision summary. Loan officers review the summary instead of raw documents.

  3. Result

    Application review time: 45 minutes → 4 minutes. Loan officer capacity: 8 applications/day → 70 applications/day. Document extraction accuracy: 97.3%.

Support AI

AI support system for a B2B SaaS - 73% queries auto-resolved

  1. Challenge

    A B2B SaaS company's support team was handling 1,200 tickets per month. 80% were questions that could be answered from the product documentation - but finding the right article took users too long.

  2. Solution

    RAG-based support bot deployed on the product's help widget: searches across 400 documentation articles, generates specific answers with source citations, and escalates complex issues with full context to the support team.

  3. Result

    73% of support queries auto-resolved without human involvement. Support ticket volume: 1,200 → 324 per month. First-response time: from 6 hours to under 10 seconds. CSAT up 24 points.

Recommendations

AI recommendation engine for an online retailer - cart abandonment down 42%

  1. Challenge

    An online retailer's cart abandonment rate was 71%. Analysis showed that 60% of abandoners viewed only one product category - they weren't finding complementary items that would complete their purchase intent.

  2. Solution

    Recommendation engine using embeddings: real-time "you might also like" based on viewing history, purchase patterns, and product similarity. Integrated into product pages, cart, and post-browse email sequences.

  3. Result

    Cart abandonment: 71% → 41%. Average order value up 28%. Recommendation-attributed revenue: 18% of total. Email sequence using recommendations converted at 3.2% vs 0.8% for generic emails.

Configurations

Pricing

Scoped per project. These ranges reflect the most common AI engagements.

AI Feature / Chatbot

from $1,000

2–4 weeks

  • Single AI feature or FAQ chatbot
  • RAG on your knowledge base
  • One channel (web, Telegram, etc.)
  • Admin panel for content management
  • 1 month support included
Get Started
★ Most Popular

AI Agent / System

from $5,000

4–10 weeks

  • Autonomous agent with tool use
  • CRM / database integration
  • Multi-channel deployment
  • Analytics & cost monitoring
  • 3 months support included
Get Started

Multi-Agent Platform

from $15,000

8–16 weeks

  • Multiple agents collaborating
  • Custom orchestration layer
  • Full observability stack
  • LLM cost optimization
  • 6 months support included
Start a project

Protocol

How We Implement AI

  1. 1–3 days

    Use Case Discovery

    We identify the specific task to automate, define success metrics, and select the right model and architecture.

  2. 3–7 days

    Prototype

    A working proof of concept on your real data - tested against your quality criteria before full development.

  3. 2–12 weeks

    Production Build

    Full system with error handling, logging, cost controls, and integrations - built for reliability, not just demos.

  4. Ongoing

    Monitor & Improve

    Post-launch review of LLM outputs, cost tracking, and iterative improvement based on real usage data.

// What's open, what's sealed

Your project stays yours

No two briefs are alike - the requirements never are - so we design for yours instead of assembling from templates. Your names, architecture and numbers stay yours: an NDA is our default, not an exception. Send us yours before the first technical call and we will sign it.

ai.aunimeda.com
AUNI-01LIVE
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AI Orchestration

Auni AI

An orchestration layer over Aunimeda's own models - Auni-1, Auni-2 and Auni-3 - deployed across industries: sales conversations, answers from a company's own knowledge, voice agents that take the call and carry out actions.

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Drawing Engine & App

AuniDraw

A drawing app on our own low-latency engine in C++ and Dart: pressure-sensitive stylus input, brush compositing, one canvas on iOS and Android. Free - for children discovering how to create and for professionals.

AUNI-03LIVE
Sync 100%
Business System

Aunimeda CRM

Everything a business actually runs on, in one place: clients, orders, inventory, staff and the numbers that show how it is going.

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Client Work

Client Projects

Websites and systems we build for clients. The ones we can show - with the client's written consent - are in our portfolio.

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Encrypted
Client Systems

Under NDA

Work delivered under non-disclosure. Names, architecture and numbers stay with the client.

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Adjacent systems

Specific AI Services

Query log

Frequently Asked Questions

Which AI model should we use for our project?

Model selection depends on your task type, latency requirements, cost budget, and data privacy constraints. GPT-4o excels at general reasoning and tool use. Claude 4 excels at long-document processing and following complex instructions. Gemini 2.5 is strong for multimodal tasks. We evaluate and recommend the most cost-effective model for your use case.

Will our data be used to train OpenAI or Anthropic models?

No. Enterprise API agreements with OpenAI and Anthropic explicitly state that API data is not used for model training. For maximum privacy, we can also deploy open-source models (Llama, Mistral) on your own infrastructure.

How much does AI integration cost?

An AI feature or FAQ chatbot starts at $1,000. An AI agent with tool use and CRM integration starts at $5,000. A multi-agent platform starts at $15,000. In addition to development cost, there are ongoing LLM API costs - we model these before you commit.

How long does it take to implement an AI solution?

A simple AI feature or chatbot takes 2–4 weeks. An AI agent takes 4–10 weeks. A multi-agent platform takes 8–16 weeks. We prototype first (3–7 days) so you can validate the approach before committing to full development.

Can AI be added to our existing product?

Yes. We integrate AI as a feature layer on top of your existing application via API. Common additions: smart search, content generation, document analysis, recommendation engine, or a conversational interface - without rebuilding your product.

Next step

Let's Find Your Best AI Use Case

A 30-minute discovery call is enough to identify where AI creates the most value in your business.

Discuss your AI project