What does an AI development company do?

An AI development company designs, builds and maintains software that uses artificial intelligence, such as chat assistants, AI agents, prediction models and document-processing pipelines, and integrates it into a business’s existing systems. Softnear covers the full cycle from use-case selection and data review to production deployment and monitoring.

How long does it take to build a custom AI solution?

It depends on scope and data readiness. A focused prototype on real data usually comes first so you can judge quality early; a production rollout then follows in phases. We give you a timeline after the discovery and feasibility step, once the data and integrations are clear.

Can you add AI to our existing software instead of building from scratch?

Yes. Most of our AI work is integration: adding search, summarisation, assistants or automation to an existing web or mobile product through APIs, without rewriting what already works.

How do you keep AI answers accurate?

We ground language models in your own content with retrieval-augmented generation, set evaluation tests before launch, log outputs in production, and route low-confidence cases to a person. Accuracy targets are agreed during discovery.

Who owns the AI models and code?

You do. We work under an NDA, and the code, prompts, configurations and any models trained for you are handed over as part of the engagement.

How much does AI development cost?

Cost depends on the use case, data preparation, integrations and the engagement model you choose. Use our project cost calculator for a first estimate, or request a free quote and we will scope it with you.

AI Development Company | Custom AI Solutions

AI Development Services That Automate Real Work

Softnear is an AI development company that builds custom AI and machine learning software for startups, SMEs and enterprises. We design, build and ship AI features that plug into the systems you already run: assistants that answer from your own data, agents that complete multi-step tasks, and models that predict, classify and extract.

Our engineers in India work with teams across the USA, the UK, Europe and the Middle East. Every engagement starts with a business problem, not a model: we define what the AI should do, how you will measure it, and what happens when it is unsure, before we write production code.

AI solutions we build

Generative AI & LLM applications

Chat assistants, copilots and content tools built on large language models, grounded in your documents and data with retrieval-augmented generation (RAG) so answers stay accurate and on-brand.

Agentic AI & workflow automation

AI agents that read, decide and act across your tools: triaging tickets, processing documents, updating CRMs and handing off to a person when confidence is low.

Custom machine learning models

Forecasting, recommendation, classification and anomaly-detection models trained on your data, with clear evaluation metrics agreed before training starts.

Document & data extraction

Pipelines that turn invoices, contracts, forms and emails into structured data your team and systems can use, with validation and review steps built in.

AI integration into existing products

AI features added to your web or mobile app through clean APIs, so you get search, summarisation or smart suggestions without rebuilding the product.

MLOps, monitoring & cost control

Deployment, logging, evaluation and usage monitoring so models stay reliable in production and inference costs stay predictable as usage grows.

How we deliver AI projects

Discovery & use-case selection

We map your workflows, pick the use cases with the clearest return, and define success metrics and guardrails.

Data & feasibility check

We review the data you have, its quality and access rules, and confirm the approach before committing to a build.

Prototype

A working prototype on real examples, so you can judge output quality early and change direction cheaply.

Production build & integration

We harden the solution, connect it to your systems, add security, logging and human-review steps, and test it end to end.

Launch, monitor & improve

After launch we track accuracy, usage and cost, and keep improving prompts, models and data as your needs change.

Why teams choose Softnear for AI

Business-first scoping

We start from the process you want to improve and the metric that proves it worked.

Full-stack delivery

The same team builds the AI, the APIs and the interface, so nothing gets lost between vendors.

Your data stays yours

We sign an NDA before discovery, and you own the code, prompts and models we build.

Flexible engagement

Fixed-price, time-and-material or a dedicated team, depending on how defined your scope is.

Get in touch

Our team will get back to you within 8 business hours or less.

AI Development Services That Automate Real Work