AI Integration
and Development in 2026
We build AI products that work in production. Not demos.
TL;DR
We integrate OpenAI, Anthropic, Gemini, and Hugging Face into production products. Chatbots, voice agents, document AI, recommendation engines. Fixed price from $8,000.
What We Build in 2026
Every AI product we ship is built for production, not a hackathon demo. We handle prompt engineering, model selection, fallback logic, cost optimization, and infrastructure. Starting from scratch? Read our guide on building an MVP to understand the full journey.
AI Chatbots
Custom chatbots built on GPT-4, Claude, or Gemini with retrieval-augmented generation, memory, and tool use. Deployed as widgets, Slack bots, or standalone apps.
Voice Agents
Real-time voice AI using Whisper for transcription and LLMs for conversation. Phone agents, meeting assistants, and voice-controlled product interfaces.
Document AI
PDF ingestion, OCR, vector embeddings, and semantic search. Turn unstructured documents into structured, searchable knowledge bases with conversational interfaces.
Recommendation Engines
Personalized recommendations powered by embeddings and collaborative filtering. Content feeds, product suggestions, and smart matching systems.
AI SaaS Products
End-to-end AI-powered SaaS products with auth, billing, usage metering, and model orchestration. Built for production scale from day one. Check our MVP development services for the full scope.
Key Insight
Production AI needs error handling, rate limiting, caching, and fallbacks. A demo that works 90% of the time is useless in production. We build all of these safeguards into every AI product so your users never see raw API errors or hallucinated garbage.
AI Providers We Work With
We are model-agnostic. We pick the right provider based on your use case, latency requirements, and budget. Most projects use a combination of providers with intelligent routing and fallback logic. Wondering about costs? Our development cost guide breaks down pricing for AI-powered products.
Pro Tip
Don't pick a model based on benchmarks alone. GPT-4o is great for general tasks, but Claude handles long documents better, and Gemini integrates tightly with Google Cloud. We help you pick the right model for each feature, and we build fallback routing so your product keeps working even if one provider goes down.
Featured AI Projects
Screenplayer.ai
AI voice and script analysis platform for the entertainment industry. Custom LLM pipelines for script evaluation, voice synthesis, and content matching. Scaled to $20,000+ MRR.
AskDocs
Document AI platform with PDF ingestion, vector search powered by embeddings, and a conversational interface for querying enterprise knowledge bases. Full SaaS shipped to production.
ValidateMySaaS
AI-powered SaaS idea validation tool. Uses LLMs to analyze market size, competitive landscape, and technical feasibility. Generates comprehensive reports for founders.
Want AI in Your Product?
Tell us what you're building. We'll figure out the right models, architecture, and timeline. Free discovery call, no strings attached.
Book a Free CallWhat Our Clients Say
“We are very happy that we found Manoj and his team at Uniqueside. Manoj and his team tackled the problem, came up with great ideas that we didn't even think of. They're not only just great executors, but they're great partners. We continue to work with them to this day. I couldn't recommend him more.”
George Kosturos
Co-Founder, Screenplayer.ai
“Manoj and his team are a set of skilled and dedicated professionals especially with respect to building AI applications. It's been great working with them and I highly recommend their services.”
Amrutha
Marketing Manager
“MyThoughts app is ready! Excited to polish it and integrate it into MyZone AI Chatbots. The work delivered was exactly what we needed.”
Shimecki
Founder, MyZone AI
Frequently Asked Questions
Which AI models do you work with?
We work with OpenAI (GPT-4o, GPT-4 Turbo), Anthropic Claude, Google Gemini, Hugging Face open-source models, and Whisper for speech-to-text. We pick the right model for your use case based on quality, latency, and cost. Most projects use a combination of providers.
Can you build AI into our existing infrastructure?
Yes. We regularly integrate AI features into existing products. That could mean adding a chatbot to your SaaS, building a document search layer on top of your database, or connecting voice agents to your CRM. We work with your existing tech stack and deployment pipeline.
How do you handle AI costs in production?
We build cost optimization into every AI product from the start. That includes caching frequent queries, using cheaper models for simple tasks, batching API calls, and setting up usage limits. Most clients see 40 to 60 percent lower AI costs compared to naive implementations. Learn more about pricing in our AI MVP development guide.
Do I need AI expertise on my team?
No. We handle everything from model selection and prompt engineering to deployment and monitoring. You focus on your business and users. We handle the AI engineering. After launch, we can train your team or provide ongoing support through a monthly retainer.
How long does it take to build an AI product?
Simple AI integrations like chatbots or document search take 10 to 15 days. Full AI SaaS products with auth, billing, and multiple AI features take 15 to 30 days. We give you a fixed timeline and price before starting. No surprises.
Ready to Build with AI in 2026?
Tell us what you're building. We'll figure out the right models, architecture, and timeline.
Start a Project