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AI Development Services

What We Build

AI Solutions Engineered for Real Business Problems

We don’t experiment with AI on your budget. We’ve already built and launched two AI SaaS products ourselves — DakshaBot and BlogCadence — so every engagement comes with hard-earned product experience.

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Custom AI Applications

Bespoke AI software built around your workflows — not off-the-shelf tools repurposed to fit.

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AI Chatbots & Assistants

Knowledge-trained AI assistants that answer from your content — not hallucinated responses from the internet.

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Process Automation

Replace manual, repetitive workflows with intelligent pipelines that run faster, cheaper, and without errors.

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Predictive Analytics

ML models that surface actionable insights from your data — so you make decisions based on evidence, not instinct.

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AI Content Automation

Automated SEO content pipelines — like our own BlogCadence platform — that produce and publish at scale.

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AI Integration & API

Embed AI capabilities into your existing software stack via APIs — OpenAI, Anthropic, Gemini, or open-source models.

What You Get

Full-Stack AI Development — From Idea to Deployed Product

Every engagement covers the complete delivery cycle, not just writing code.

  • ✓Technical discovery — architecture, data strategy, model selection
  • ✓Custom AI model training or fine-tuning on your data
  • ✓Backend API development connecting AI to your systems
  • ✓Frontend interface or dashboard where users interact with AI
  • ✓Cloud deployment — AWS, GCP or Azure with auto-scaling
  • ✓QA testing, accuracy validation, and performance benchmarking
  • ✓Documentation, handover, and 30-day post-launch support
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Our AI Products — Proof of What We Build
DakshaBot — AI Knowledge Assistant
RAG-powered AI assistant trained on your content. No-code setup, embeds in minutes, answers accurately from your documents.
70%
Fewer support tickets
94%
Answer accuracy
Visit DakshaBot →
BlogCadence — AI SEO Content Platform
Automated SEO blog creation at scale. AI-generated, editor-reviewed, and published — without the manual effort.
Visit BlogCadence →
How We Work

Our AI Development Process — Clear, Transparent, Accountable

No black boxes. You know exactly what we’re building and why at every stage.

Discovery & Architecture
1
Technical discovery call
We assess your data, systems, and goals. We tell you honestly what AI can and cannot solve for your specific situation.
2
Architecture proposal
We recommend the right AI stack — model, infrastructure, integration points — with a fixed-price quote.
3
Data & infrastructure setup
We prepare your data pipelines, cloud environment, and development foundations before writing a single line of AI code.
Build, Test & Deploy
4
Agile development sprints
Weekly sprint demos — you see working AI features every 7 days, not a big reveal at the end of the project.
5
Accuracy & performance testing
We validate outputs against benchmarks, test edge cases, and document accuracy scores before any launch.
6
Deployment & handover
We deploy, monitor the first 30 days, and hand over full documentation — not just a GitHub repo link.
FAQ

Common Questions About AI Development

Answers to what our clients ask most before starting an AI project.

How long does a custom AI project take?
Most custom AI projects take 6–16 weeks depending on complexity. A focused AI chatbot or automation tool can be delivered in 6–8 weeks. A full AI SaaS platform typically takes 12–20 weeks. We’ll give you a precise timeline after the discovery call.
Do I need my own data to build an AI solution?
For most use cases, yes — the more relevant data you have, the better the AI performs. However, for chatbot and knowledge assistant projects (like DakshaBot), your existing documents, PDFs, and website content are enough to get started immediately.
Will you use ChatGPT or build a custom model?
Depends on the use case. For most business applications we use retrieval-augmented generation (RAG) with frontier models like GPT-4o — this is faster, cheaper, and more accurate than fine-tuning. For specialised use cases we build and fine-tune custom models.
Can you integrate AI into our existing software?
Yes. We build AI as an API layer that integrates into your existing systems — CRMs, ERPs, websites, mobile apps, internal tools. We don’t require you to replace your current stack.
What is the cost of AI development?
AI projects start from ₹1.5L for focused automation tools and range to ₹15L+ for full SaaS platforms. We provide quotes after the discovery call — no billing surprises.
Our AI Products

See AI We’ve Already Built

Working products — not just case studies.

DakshaBot
AI knowledge assistant trained on your content. Used by businesses to cut support workload by 70%.
Visit DakshaBot →
BlogCadence
AI-powered SEO blog automation platform. Produce and publish SEO content at scale, automatically.
Visit BlogCadence →
Free Consultation

Ready to Build Your AI Solution?

Tell us about your business challenge. We’ll recommend the right AI approach — honestly, with no jargon or overselling.