AI DEVELOPMENT
AI development that ships to production, not just demos
Geminate Solutions is an AI development company that builds custom LLM apps, RAG pipelines, and AI agents for production, not demos. We have shipped 50+ products that serve 250K+ daily active users. You own the code. We own the delivery. Our AI and ML development page covers the technical approach, and our AI code audit guide covers the quality bar we hold every deployment to.
50+
Products shipped
250K+
Daily active users
100%
Code ownership
1 wk
Paid pilot sprint
WHERE WE COME FROM
Engineering discipline from a platform at 250,000 daily users.
We lead with EdTech platform development because it is where we have built our deepest expertise. Our multi-tenant platform powers white-label brands like Your CA Buddy and Youth Pathshala at 250,000+ daily active users, 10 million requests per minute at peak, and zero downtime through three major migrations. The same engineering discipline carries into every ai development engagement we take.
See our EdTech practice ↗THE PROBLEM
Sound familiar?
01
The demo-to-production gap
Your prototype works in a notebook. Handling edge cases, rate limits, and thousands of concurrent users is a different engineering problem entirely.
02
Hallucinations destroy trust
When your AI confidently gives wrong answers to real customers, it does not just fail. One viral screenshot undoes months of brand building.
03
RAG that returns noise
Your retrieval pipeline returns irrelevant results and users stop trusting it. We ground every answer in your data and measure relevance before launch.
THE SOLUTION
What you get
01
LLM App Development
Custom apps on GPT-4o, Claude, Gemini, or open-source models. Chat interfaces, document Q&A, extraction, and summarization, integrated into your product.
02
RAG Pipelines
Retrieval-augmented generation that works. Vector databases, embedding selection, hybrid search, re-ranking, and hallucination prevention grounded in your data.
03
AI Agents
Autonomous agents that complete multi-step tasks. Task decomposition, tool definitions with schemas, and short and long-term memory.
04
AI Integration
OpenAI, Claude, and Gemini APIs connected to your product with proper error handling, rate limiting, and cost controls.
05
AI Automation
Workflow automation with LLM decision-making. The flow runs on its own, decides based on context, and escalates edge cases to a human.
06
AI Evaluation
RAGAS, LLM-as-judge, and hallucination tracking. We measure accuracy and relevance before launch, not after users complain.
PROCESS
From first call to production
01
Scoping and AI architecture
We map your use case, data, and evaluation criteria, then design model selection, RAG, and the agent framework. You get a written architecture before we build.
02
Model benchmarking
We test GPT-4o, Claude, Gemini, and open-source models against your data and your questions, then pick the one that performs best, not the one we prefer.
03
Sprint delivery
Working AI features every two weeks with evaluation metrics. Retrieval relevance, hallucination rate, and task completion, measured each sprint.
04
Production and monitoring
Hallucination tracking, retrieval monitoring, and cost-per-query tracking. We stay through launch to tune the system on real traffic.
WHY GEMINATE
How we compare to your other options
VS BUILDING IN-HOUSE
A full product team, ready now
No recruiting, onboarding, or benefits overhead. You get a senior team that has shipped products like yours, ready to start in days instead of a months-long hire, and you scale it up or down as the roadmap changes.
VS FREELANCERS
A team, not a lone contractor
No juggling freelancers, no ghosting, no single point of failure. Your product is owned by a senior team with code review, QA, and a delivery lead, so quality and momentum never depend on one person.
VS LARGE AGENCIES
Direct access, no middlemen
You talk directly to the engineers building your product and to our founders, not a layer of account managers. Clear scope, honest timelines, and no bloated retainers or long lock-in contracts.
TECHNOLOGY
Built with tools
you trust
ZERO RISK
Start with a paid pilot sprint
We take one real slice of your product and build it in a short, paid sprint. Real code, real progress, shipped to your repo. If we are not the right team to carry it forward, you keep everything we built and walk away.
Days
Kickoff after a short scoping call
1 sprint
A working feature shipped to your repo
100%
Code and IP yours from day one
FAQ
Common questions
Can't find your answer? Book a call and we'll walk through everything.
Book a 15-minute callAI handles natural language understanding (chatbots, search), document processing (extraction, summarization), decision support (recommendations, classification), and task automation. It does not handle real-time control systems, guaranteed accuracy without retrieval, or physical world tasks.
RAG retrieves relevant documents from your data at query time, then answers from those documents. It is best for up-to-date information, large document stores, and verifiable answers. Fine-tuning trains a model on your data for consistent format and domain reasoning. We start with RAG because it is cheaper, faster to ship, and easier to update.
Hallucinations happen when a model answers without grounding in retrieved context. We prevent them with retrieval evaluation, grounded generation that cites sources, output validation against retrieved context, and evaluation frameworks like RAGAS and LLM-as-judge that measure hallucination rates before launch.
We use the right model for your use case, not the one we prefer. GPT-4o for general reasoning and tool use. Claude for long documents and writing. Gemini for multimodal. Llama 3 or Mistral for self-hosted, cost-sensitive, or data-private needs. We benchmark against your case before recommending.
A typical AI project takes 10 to 16 weeks from scoping to production. Chatbots and simple RAG apps run shorter, complex agents with tool use and memory run longer. You get a fixed timeline before we start, with evaluation metrics at every sprint.
It tracks the build. A chatbot on a simple RAG pipeline is the lighter end, an agent with tool use, memory, and evaluation harnesses sits higher. We scope it in writing before you commit, and you can start with a paid pilot sprint to judge real output first. Book a scoping call for a firm estimate.
EXPLORE MORE
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BUILD WITH OUR TEAM
Pricing Tiers
Scoped on a call
GPT-4o or Claude integration, simple RAG, chatbot, document Q&A
Scoped on a call
Vector DB, embedding optimization, retrieval evaluation, hallucination prevention
Scoped on a call
Task decomposition, tool use, memory management, autonomous task completion
How It Works
Scoping and architecture
Map the use case, data, and evaluation criteria, then design model selection and RAG
Model benchmarking
Test GPT-4o, Claude, Gemini, and open-source models against your data
Sprint delivery
Working AI features every two weeks with evaluation metrics
Production and monitoring
Hallucination tracking, retrieval monitoring, cost-per-query tracking
AI development company that builds custom LLM apps, RAG pipelines, and AI agents for production. 50+ products shipped that serve 250K+ daily users. You own the code, we own the delivery. Book a free scoping call.
AI Development in your city
NEXT STEP
Have a product to build?
Let us scope it with you.
A 15-minute call with our CEO. No sales pitch, just an honest read on whether we are the right team to build it. If we are, we map the scope and a start date. If we are not, we point you to someone who is.
No commitment required · Senior team, not a marketplace · Paid pilot sprint available