ServicesAI & Machine Learning

Practical AI — The Kind That Earns Its Monthly Bill.

We use LLMs and ML where they replace real hours, real headcount or real customer wait time. We skip them where they don't. No AI theatre — just systems that move metrics.

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From 4200+ Reviews

AI services we offer

Practical machine learning architectures designed to replace manual hours and move core business metrics.

AI chatbots and conversational AI

Customer support, sales qualification, internal helpdesks. Built on RAG over your own docs, integrated with WhatsApp, web chat, Slack, Teams. Same architecture powers AI Greentick's chatbot builder.

Document AI

Pull structured data out of PDFs, invoices, contracts, scanned forms. Combine OCR, layout-aware parsing and LLMs to get accuracy that beats off-the-shelf APIs.

Recommendation and personalisation

Product recommendations, content feeds, search ranking — for e-commerce, EdTech, media. Mix of classical ML and embedding-based retrieval.

Workflow automation with AI

Multi-step agent workflows — handle email triage, ticket routing, content moderation, lead scoring. Built on LangChain, LlamaIndex or custom orchestration.

AI integration into existing products

You have a working product, you want to add AI features — summarisation, generation, transcription, smart search. We slot in without rewriting your stack.

AI Stack

Models and frameworks we work with

We select the right tool for the job—balancing inference speed, accuracy, and operational cost.

Foundation models

OpenAI GPT familyAnthropic ClaudeGoogle GeminiMeta LlamaMistral

Open-source LLMs

LlamaMistralQwenvLLMOllama

Vector databases

PineconeWeaviateQdrantpgvector

Frameworks

LangChainLlamaIndexHaystackPythonTypeScript

Classical ML

scikit-learnXGBoostPyTorchTensorFlow

Speech and vision

WhisperOpenAI Visioncustom CV pipelines

How we keep AI projects sane

Our rigorous engineering philosophy to prevent AI theatre and ensure models deliver measurable ROI.

Start with measurement

What metric should move? How do we measure it before and after?

Build the cheap baseline first

Sometimes a regex or rule is better than a model. We test that.

Monitor cost per request

AI bills can spiral. We log, alert and optimise.

Human-in-the-loop where it matters

Critical decisions stay reviewable, not just automated.

Data privacy by design

On-prem or private deployments where compliance demands it.

Talk to an AI Engineer

Book a consultation to evaluate your practical AI strategy.

AI use cases by industry

Proven machine learning implementations across high-volume sectors.

E-commerce

Product Q&A bots, review summarisation, smart search

Healthcare

Patient intake automation, clinical document summarisation

Education

AI tutors, doubt-solving bots, auto-grading drafts

FinTech

Document verification, fraud signals, customer onboarding

Service businesses

Quote generation, FAQ deflection, lead qualification

Have an AI idea you're not sure will work?

We'll tell you honestly — sometimes it will, sometimes it won't, sometimes there's a smaller experiment that proves it first.

RAG Architectures

Vision LLMs

Cost Optimization

Private Deployments

Common Questions You Might Have

Use AI algorithms to give users some cool insights!

We build our conversational AI using advanced Retrieval-Augmented Generation (RAG) architectures with strict guardrails, ensuring the model only answers based on your verified documentation.

Still have Questions?

Our team will answer all your questions. we ensure a quick response.