Best Generative AI Development Company
SoftUs Infotech is a leading Generative AI development company helping Seed–Series B startups build custom LLM applications, AI copilots, RAG pipelines, and intelligent automation. We've shipped 45+ production GenAI products across fintech, healthtech, SaaS, and retail, with first-sprint results, every time.
- GenAI Products Shipped
- 45+
- Client Rating
- 4.9/5
- Avg. PoC Timeline
- 6 weeks
- Countries Served
- 25+
GPT-4o, Claude 3.5, Gemini & Open-Source LLMs, Built for Production
Why choose SoftUs Infotech
Trusted by 45+ startups across 25+ countries. Here is what sets us apart.
Custom LLM Applications
We build on GPT-4o, Claude 3.5 Sonnet, Gemini 1.5, Llama 3, Mistral, and DeepSeek. Selecting the right model for your use case, budget, and latency requirements.
RAG Pipelines That Actually Work
From hybrid vector search to graph RAG and agentic retrieval. We build RAG systems that retrieve accurately and scale to millions of documents without hallucination.
AI Copilots & Assistants
Customer support bots, internal knowledge assistants, code generation tools, document Q&A systems. We've built them all, integrated with your existing stack.
Fine-Tuning & Model Customization
When off-the-shelf models don't cut it, we fine-tune on your domain data to create models that truly understand your business context.
End-to-End Ownership
From model selection and prompt engineering to API integration, deployment, monitoring, and iteration, we own the full GenAI stack.
How we work
A predictable rhythm. Discovery is a real conversation, not a sales call.
01
Discovery Call
30-min session to scope your use case
02
Sprint Planning
Define milestones, team, and timeline
03
Build & Iterate
2-week sprints with live demos
04
Ship & Support
Deploy to production with monitoring
Questions buyers ask
Honest answers, kept short. If you need depth on one of these, book a call and we will go deeper than any FAQ allows.
- 01
What Generative AI models do you work with?
We work with OpenAI (GPT-4o, o3), Anthropic (Claude 3.5 Sonnet), Google (Gemini 1.5 Pro), Meta (Llama 3), Mistral, DeepSeek, and Cohere. We recommend the best model for your specific use case, not just the most popular one.
- 02
How long does it take to build a Generative AI product?
A working GenAI PoC typically takes 4–6 weeks. A production-ready product is usually 8–16 weeks depending on integration complexity. We deliver working demos within the first 2 sprints.
- 03
Can you integrate Generative AI into our existing product?
Yes. We specialize in adding GenAI capabilities to existing SaaS products, CRMs, ERPs, and internal tools via APIs and custom middleware, without disrupting your current workflow.
- 04
How do you prevent AI hallucinations in production?
We use RAG architecture, structured outputs, function calling, fact-checking agents, and human-in-the-loop workflows to minimize hallucinations and ensure reliable outputs in production.
- 05
What industries have you built Generative AI products for?
We've shipped GenAI products for fintech (contract analysis, fraud explanation), healthtech (clinical documentation, patient Q&A), legal (document review), retail (personalization), and SaaS (copilots, onboarding automation).
Full-spectrum AI development. Pick a track to read how we scope, staff, and ship inside it.
Related AI topics
Browse more pages around AI delivery, industries, team augmentation, and product-focused implementation.
Ready to build with the best
Book a free 30-minute consultation. We will scope your project, give you an honest timeline, and show you exactly how we will deliver.
Start here
Bring the messy version. That is the useful conversation.
An idea, a workflow that is eating your team's week, or a model that works in a notebook and nowhere else. Any of those is enough to start.
- A first roadmap on the call
- Not a brochure. What we would build first, what we would leave out, and why.
- Architecture and cost in plain English
- Where the model sits, what it touches, what it costs to run at your volume.
- The honest version
- If your data is not ready, or the use case does not need AI, we will tell you on the call.