AI & Machine Learning Integrationsby SoftwareCrafting
Cutting-edge LLMs and ML modules wired into production interfaces.
No sales calls. Written reply in under 4 working hours.
Delivery Time
4-8 weeks
Service Overview
SoftwareCrafting integrates AI into real products, not just demos. We build LLM assistants, document analysis, semantic search, AI workflows, prompt pipelines, human-review flows, and analytics features using OpenAI, Gemini, LangChain, vector databases, and custom model APIs. Every engagement includes product-fit discovery, data/privacy review, evaluation criteria, cost controls, fallback behavior, and UI integration so your AI feature is useful, measurable, and safe to ship.
Technologies we use
Key Features
- LLM assistants for SaaS, support, operations, and internal tools
- Document analysis, resume parsing, report extraction, and summarization
- Retrieval-augmented generation with vector search
- Prompt engineering, tool calling, and structured AI outputs
- Human-in-the-loop review and approval workflows
- AI usage tracking, cost controls, and rate limits
- Model evaluation, regression checks, and fallback behavior
- Secure integration with existing product data and permissions
Pricing Snapshot
Starting from ₹40,000 for AI agent development
- Model: project
- Timeline: 4-8 weeks
Our Delivery Process
We use an agile, transparent process to ensure your project is completed on time and meets exactly your needs.
Use-case and data review
We identify the workflow where AI can save time or improve decisions, then review available data, privacy constraints, and expected outputs.
Prototype and evaluation plan
We build a small proof of concept with sample data, define quality checks, estimate token/model costs, and decide the production path.
Production integration
We wire the AI workflow into your app with permissions, queues, logging, retries, analytics, fallback states, and user-facing UI.
Quality tuning and handoff
We tune prompts, retrieval, guardrails, and evaluation tests, then document maintenance, monitoring, and improvement workflows.
Why Choose SoftwareCrafting?
- Useful AI features tied to real product workflows
- Faster document processing, support, and operational decisions
- Lower risk through evaluation, fallbacks, and human review
- Predictable model costs with usage controls
- Secure handling of private product and customer data
- A maintainable AI pipeline your team can improve over time
Frequently Asked Questions
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Which model provider should we use?
How do you prevent unreliable AI outputs?
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Case Studies
See how we've delivered results for our clients.
Guides that support this service
Practical engineering notes connected to ai & machine learning integrations decisions, architecture, and implementation trade-offs.
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Solutions & industries
Where teams use ai & machine learning integrations
Explore the industry solutions and locations we deliver this capability for, or talk to a Delhi/India-based senior engineer.
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