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Deep Learning Services

Generative AI Services that turn business vision into measurable results

Our Generative AI Services cover the full delivery lifecycle from strategy and architecture to custom AI development, RAG pipelines, agentic systems, and ongoing governance. Whether you're exploring your first AI use case or scaling an enterprise deployment, we bring the technical depth and domain expertise to make it work.

Generative AI services
What we do?

One goal, endless impact, Generative AI Services built for business.

We design and deploy Generative AI Services that go beyond experimentation. From strategy to execution, we help businesses harness the real power of AI to automate, innovate, and grow..

Strategy & Advisory

Assess, prioritise, and build your AI business case.

🧩

Architecture & Design

Scalable, secure GenAI blueprints for your cloud.

💻

Custom AI Development

Production-ready apps tuned to your domain.

🤖

RAG & Knowledge AI

AI that retrieves and reasons over your own data.

🧠

Agentic AI Systems

Autonomous agents that act, with the right oversight.

🛡️

Governance & Security

Monitor, audit, and secure AI in production.

Industries

Industries We Serve

Sector-specific Generative AI solutions  built around your compliance, data, and workflow realities.

01

Financial Services

Automate high-volume document work, accelerate compliance reviews, and surface insights from unstructured financial data while keeping every output auditable and explainable.

02

Healthcare

Put the right clinical knowledge in front of the right people — instantly. We build HIPAA-aware AI systems that reason over medical records, research, and protocols without compromising privacy.

03

Retail & E-commerce

Scale content, personalise experiences, and automate operations — from product catalogues to customer support — across every channel and market.

04

Legal

Reduce research time, accelerate drafting, and surface risk in contracts automatically — while keeping lawyers in control of every final output.

05

Manufacturing

Digitise maintenance knowledge, automate quality reporting, and give engineers instant access to technical documentation — across the shop floor and supply chain.

06

Education

Personalise learning at scale, reduce educator admin load, and give students intelligent tutoring without replacing the human at the centre of education.

07

Real Estate

Automate property listings, accelerate document workflows, and give buyers and agents AI tools that surface the right information at the right moment in the deal cycle.

08

Construction

AI-powered construction site monitoring systems that improve worker safety, track project progress, and detect risks in real time using cameras, drones, and edge AI reducing the need for manual video review and site inspections.

70%

reduction in manual document processing time

4x

faster content production with AI-assisted pipelines

60%

drop in Tier-1 support tickets via AI assistants

40%

lower LLM infrastructure cost after FinOps optimisation
Client stories

What Our Clients Say

Outcomes from real agentic AI services and AI integration engagements.

"

Built an intelligent agent that handles our entire sales research workflow — prospecting, enrichment, CRM updates, and outreach drafting. We've automated 80% of a 4-person team's manual work.

Ankit Prasad
VP Sales Ops, FinStream
"

The data pipeline they built transformed how our learning agent accesses real-time inventory and pricing. The Kafka streaming pipeline means our agents always have current context — 40% better recommendation accuracy.

Meera Krishnan
Head of AI, RetailCo
"

They were the first team that actually understood the observability requirements — the OpenTelemetry tracing across our multi-agent system gave us visibility we didn't know was possible.

David Saunders
CTO, BuildCorp
Technology stack

Tech Stack We Work With

Best-in-class tools chosen for your use case, not ours.

LLMs & Models
GPT-4o / o3 Claude 3.5 / 4 Gemini 1.5 Pro Llama 3 / Mistral
Frameworks
LangChain LlamaIndex CrewAI AutoGen
Vector Databases
Pinecone Weaviate Qdrant pgvector
Cloud Platforms
AWS Bedrock Azure OpenAI GCP Vertex AI Hugging Face
Observability
LangSmith Helicone Arize AI Weights & Biases
Integrations
Salesforce / SAP Slack / Teams REST / GraphQL Zapier / Make
HIRE AI DEVELOPERS

Extend Your Team with Senior Generative AI Talent

Hire dedicated AI engineers, prompt engineers, and ML specialists — on-demand, without the overhead of a full-time hire.

GenAI Engineer

LangChainRAGLLM APIsPython

AI Solutions Architect

System design CloudMulti-agent

Data Engineer

Pipelines Vector DBs Ingestion

ML Engineer

Fine-tuning PyTorchModel deploymentObject detection Classification

Prompt Engineer

Prompt design EvalsOutput quality

AI QA Specialist

Hallucination testing Benchmarking

FAQ

How long does a typical Generative AI project take?

It depends on scope. A focused MVP like an internal chatbot or document Q&A tool typically takes 4–8 weeks. Enterprise-grade systems with integrations and custom fine-tuning range from 3–6 months. We always start with a scoping session to give you an honest timeline before any commitment.

Which LLM do you recommend for enterprise use?

We’re model-agnostic and recommend based on your specific needs: data sensitivity, latency, cost, and task type all factor in. For many enterprise use cases, a combination of models works best: a powerful model for reasoning tasks and a faster, cheaper model for high-volume generation.

How do you handle data privacy and security?

We design every Generative AI service with a data-private-by-default approach. That means private cloud or on-premise deployments where needed, no data sent to third-party model providers without explicit consent, and full IAM controls. We also help you map AI usage against GDPR, HIPAA, and other relevant frameworks.

Can your Generative AI services integrate with our existing systems?

Yes. We integrate with your existing CRM, ERP, document stores, and databases. Our data engineers handle ingestion, chunking, and indexing so your Generative AI solution works on your actual knowledge, not generic training data.

Do you offer ongoing support after launch?

Yes. We offer managed support retainers covering monitoring, performance tuning, model updates, and prompt refinement. Generative AI systems drift over time; ongoing evaluation keeps your system accurate and cost-efficient.

What's the difference between hiring your developers vs. a full project?

With a full project engagement, we own the delivery end-to-end architecture, development, QA, and handover. With dedicated developer hiring, our engineers join your team within your sprint cycles. Both include senior AI talent; the difference is where accountability sits.

Related Articles

Stay informed about the latest trends, best practices, and insights in logistics and supply chain management. Our blogs cover a wide range of topics, from the impact of AI on logistics to the future of smart warehouses. Explore our blog section to access valuable information that can help you navigate the evolving landscape of logistics and supply chain management.

Ready to Build Something That Works?

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