What does Inqmise Technologies do?

We're a full-stack software company — web, mobile, UI/UX, cloud, and cybersecurity, plus five dedicated AI services — delivered end to end by one accountable in-house team.

Do you build AI-powered applications?

Yes — we have dedicated services for Generative AI Development, Agentic AI Development, Recommendation Engine Development, and AI Integration Services, each with its own page describing what we build.

What engagement models do you offer?

We work Fixed-Scope, Dedicated Team, or MVP Sprint — the same process and team stay accountable from kickoff to launch regardless of which model fits your project.

Do you only work with clients in Delhi NCR?

Delhi NCR is home base, but most of our engagement happens remotely — including international clients, like our Three Lock Box project built for the US construction industry.

Can I see examples of past work?

Yes — our case studies page walks through real engagements across insurance tech, construction fintech, SaaS, IoT/fitness, and AI-powered retail, each solved with the same disciplined process.

Where is your team based?

We're an MSME-registered IT company headquartered in Delhi NCR, following the same 7-stage delivery process across every engagement.

Can AI be integrated into existing legacy systems?

Yes. AI integration services enable adding intelligent capabilities to legacy systems without a complete rebuild, using APIs, adapters, and microservices architectures that sit alongside your existing stack.

How long does AI integration typically take?

Most AI integration services projects take 8-16 weeks for a production-ready system, though focused MVPs can be deployed in 4-6 weeks depending on complexity and data readiness.

Which LLM and machine learning providers do you integrate with?

We handle LLM API integration and machine learning deployment across OpenAI, Anthropic Claude, Google Vertex AI, and AWS SageMaker, plus custom fine-tuned and on-premise models.

Will AI integration disrupt our existing systems?

No. Enterprise AI integration is designed to be non-disruptive — we build alongside your existing infrastructure with staged rollouts and rollback plans rather than a risky full replacement.

How do you handle multiple AI models working together?

We build multi-model orchestration layers that route requests to the right model for each task, so you're never locked into a single AI provider.

Seamless integration · non-disruptive by design

Embed intelligence into the systems you already run.

We embed machine learning, generative AI, and intelligent automation into your existing applications and workflows — architecture built to avoid disruption, not cause it.

See what we integrate

TRUSTED BY GROWING BUSINESSES

What changes

Same team,
different day-to-day.

Integration doesn't just add a feature — it changes how your team works day to day.

Without AI integration

✕Manual triage eats hours of your team's day
✕Customer and product data locked in silos
✕Decisions wait on end-of-week reports
✕Every new AI idea means a system rebuild

With Inqmise integration

✓AI agents triage and route requests instantly
✓A unified data layer feeds every system
✓Decisions happen in real time, not next Friday
✓New AI capability plugs in without touching core systems

What we build

Integration capabilities,
any stack.

Full-spectrum AI integration for any platform, technology stack, or business requirement.

LLM API Integration

Integrate OpenAI, Claude, and other language models into your applications through production-grade APIs.

Machine Learning Model Deployment

Deploy ML models to production with scaling, monitoring, and continuous optimization built in.

Data Pipeline Integration

Build ETL pipelines that feed AI systems with clean, structured, and continuously refreshed data.

Real-Time AI Processing

Implement low-latency AI inference for real-time decisions inside live workflows.

Legacy System AI Integration

Add AI capabilities to existing legacy systems without a costly, risky full rebuild.

Multi-Model Orchestration

Coordinate multiple AI models to work together for complex, multi-step business logic.

Under the hood

Works with
your stack.

Machine learning deployment and integration across every major AI and data platform.

AI/ML Platforms

OpenAIAnthropic ClaudeGoogle Vertex AIAWS SageMaker

Data & Storage

DatabricksSnowflakePineconeWeaviate

Infrastructure

AWSAzureGoogle CloudMulti-Cloud

A systematic methodology

Six steps,
zero surprises.

The same integration approach whether it's one API or a full multi-model pipeline.

Assessment

Analyze your systems and evaluate technical feasibility.

→

Architecture

Design integration architecture and API contracts up front.

→

Development

Build connectors, APIs, and data pipelines.

→

Validation

Test model outputs and integration quality before launch.

→

Deployment

Roll out with minimal downtime and a rollback plan.

→

Monitoring

Track performance and business impact after launch.

Why now

Integrate today,
not after a rebuild.

The case for adding AI now instead of waiting for a full platform rebuild.

Non-DisruptiveAdd AI without rebuilding from scratch.

Fast DeploymentGo live in weeks, not months.

Lower RiskLeverage existing infrastructure and data.

ROI-FocusedProven ROI within 3-6 months.

Where we've delivered

Tailored to your
industry's constraints.

AI integration services tailored to the compliance and data requirements of your industry.

E-Commerce & Retail

Enterprise AI integration for personalization, inventory forecasting, and support automation.

Finance & Banking

LLM API integration for document review, fraud detection, and compliance workflows.

Healthcare

System integration AI that connects clinical data with decision-support tooling securely.

SaaS & Technology

Embed AI features directly into your product without disrupting existing users.

Manufacturing

Machine learning deployment for predictive maintenance and supply chain optimization.

Logistics

Real-time AI processing for route optimization and demand forecasting.

Client success stories

Told in their
own words.

Representative outcomes from recent AI integration services engagements.

Live with LLM-powered document processing in 6 weeks — without touching our core codebase.

Legacy ERP Platform

We now route requests across three AI providers without a single line of vendor-specific code.

Multi-Cloud SaaS

Our real-time fraud-scoring pipeline went live with zero downtime and 99.95% uptime since.

Regional Bank

Common questions

Clarity before the kickoff.

Short answers to the questions we are usually asked before an engagement begins.

Ready to integrate

Tell us about the systems you're working with.

Our AI integration services team will get back to you within one business day.

SCHEDULE A CONSULTATION

Integrate with confidence.

Tell us what you're trying to connect and we'll help you scope it.