Salt Technologies AI

What AI development services does Salt Technologies AI offer?

We offer 8 productized AI packages across three tiers: Entry (AI Readiness Audit from $3,000, AI PoC Sprint from $8,000), Core (AI Chatbot Development from $12,000, AI Integration Sprint from $15,000, RAG Knowledge Base from $15,000, Custom AI Agent Build from $20,000), and Ongoing (AI Managed Pod from $12,000/month, AI Workflow Automation from $8,000). Each package includes defined deliverables, timelines, and transparent pricing.

What makes Salt Technologies AI different from other AI development companies?

We are the AI division of Salt Technologies, a company with 14+ years of software engineering experience, 800+ projects delivered, and 100+ engineers. We bring production-grade engineering discipline to AI projects. Every engagement includes fixed pricing, clear deliverables, sprint-based delivery, and a defined timeline. We do not sell hours; we sell outcomes.

How much does AI development cost?

Our AI packages start at $3,000 for an AI Readiness Audit. Custom AI chatbot development starts at $12,000. RAG knowledge base development starts at $15,000. Custom AI agent development starts at $20,000. Ongoing AI team support starts at $12,000/month. All pricing is transparent and fixed-scope. You get a firm quote before any work begins.

How do I know which AI package is right for my business?

Start with the AI Readiness Audit ($3,000). In 1-2 weeks, our team maps your processes, identifies high-impact AI opportunities, and delivers a prioritized roadmap with ROI estimates. This ensures you invest in the right AI solution from day one. If you already know what you need, you can go directly to any Build-tier package.

What technologies do you use for AI development?

We work with leading AI technologies including OpenAI GPT-4o, Anthropic Claude, Google Gemini, and open-source models (Llama, Mistral). Our AI frameworks include LangChain, LlamaIndex, LangGraph, CrewAI, and AutoGen. For vector databases, we use Pinecone, Weaviate, Qdrant, and pgvector. Cloud platforms include AWS, Azure, and GCP. We choose the optimal stack for each project based on your requirements.

How long does a typical AI project take?

Timelines vary by package: AI Readiness Audit takes 1-2 weeks, AI PoC Sprint takes 2-4 weeks, AI Chatbot Development takes 2-4 weeks, AI Integration Sprint takes 4 weeks, RAG Knowledge Base takes 3-4 weeks, and Custom AI Agent Build takes 4-8 weeks. Our AI Managed Pod is an ongoing monthly engagement. Every package page shows the expected timeline and deliverables.

Do you work with companies outside the United States?

Our primary clients are US-based startups and mid-market companies ($1M to $500M revenue). Our engineering team is based in Pune, India with offices in Austin, TX. We provide 4-6 hours of daily US timezone overlap, use async communication tools (Slack, Jira, GitHub), and run sprint demos at times convenient for your team.

Can you add AI features to our existing product without rebuilding it?

Yes. Our AI Integration Sprint ($15,000, 4 weeks) is specifically designed to layer AI capabilities into your existing codebase. We work directly in your repository, follow your coding standards, and submit production-ready PRs. Common features include smart search, content generation, document summarization, and recommendation engines.