Jaipur, India — Specialised AI & Data studio

Build smarter with
Agentic AI, RAG
& modern data engineering.

Adventive AI delivers Databricks-powered Agentic AI, production RAG solutions, full-stack web applications and end-to-end data migrations for Indian tech B2B companies and startups that need results, not just consultants.

4+ Core service areas
End-to-end Delivery model
Databricks AI platform focus
Any→Any Data migration
Capability overview
Active engagements
Agentic AI rollout
6–8 wks
Discovery to first live users.
Data pipeline scale
1B+ rows
Monthly on Databricks lakehouse.
Migration model
Any → Any
Platform-agnostic, zero-downtime.
Deployment target
Cloud-native
API-first, observable, scalable.
Primary tech stack
Databricks Python FastAPI MongoDB Node.js React MLflow
Tech we work with
Databricks Python FastAPI MongoDB Node.js React MLflow Delta Lake Spark Snowflake Azure / AWS LangChain
What we do

Four core service areas.

Deep engineering expertise in AI, application development and data platforms to deliver measurable outcomes for Indian tech companies and startups.

🤖

Generative AI & Agentic AI

Databricks-powered Agentic AI systems, production RAG pipelines and internal AI tools—designed to be reliable, auditable and embedded into existing workflows.

Databricks agents RAG / vector search LLM fine-tuning Internal copilots Document Q&A
Start a conversation →
🌐

Web Application Development

Scalable, API-first web platforms with modern frontends and secure backends—from MVPs to complex enterprise tools—built to be maintainable from day one.

FastAPI + Python Node.js React MongoDB REST & GraphQL
Discuss your project →
⚙️

Data Engineering & Analytics

Reliable batch and streaming pipelines, curated data models and analytics layers built on Databricks and Delta Lake—so teams trust the data and ship faster.

Databricks / Spark Delta Lake Batch & streaming Data quality ML-ready datasets
See our approach →
↔️

Data Migration & Modernisation

Any-to-any data migrations tailored to your requirements—on-prem to cloud, relational to lakehouse, or cross-platform—with zero-downtime cut-overs and governance built in.

Any-to-any Schema redesign Zero-downtime Rollback-safe Compliance-aware
Review a case study →
Who we work with

Industries we serve.

Our work focuses on data-intensive and digital-first businesses across Indian B2B tech, fintech and SaaS where reliability and speed-to-value directly affect growth.

💳

Fintech & Financial Services

Transaction scoring, fraud detection pipelines, customer onboarding and internal decision-support tools—combining explainable ML with auditable data flows.

Credit risk · Fraud analytics · Internal copilots · Workflow automation
✈️

Travel, Hospitality & Booking

Booking engines, real-time availability and pricing systems, property dashboards and customer notification integrations handling high-volume transactions.

Booking platforms · Inventory mgmt · Real-time status · Payment integration
🚀

SaaS, Startups & Digital Products

AI-driven features, usage analytics, scalable backend architecture and admin consoles for product teams that need to move fast without technical debt.

AI feature add-ons · Usage analytics · Billing flows · Admin portals
Selected work

Examples of what we deliver.

Realistic illustrative engagements that reflect the kind of problems we solve and outcomes we target.

Generative AI · Fintech · Databricks

Agentic credit-risk assistant for underwriting teams

A Databricks-based agentic system that retrieves policy rules, historical risk cases and live model scores for credit analysts—embedded into their existing workflow tools with full audit trails and role-based access controls.

Databricks MLflow Python FastAPI MongoDB LangChain
35%Faster case review
100%Auditable sources
0Hallucinations post-guardrailing
Data Engineering · Any-to-any Migration

Legacy RDBMS to Databricks lakehouse for a SaaS platform

Full schema redesign and pipeline replatforming from a legacy relational database to a Databricks Delta lakehouse, enabling faster analytics, streaming capability and ML-ready feature tables.

Databricks Delta Lake Spark Python Azure
ZeroDowntime cut-over
Query speed gain
How we work

Structured delivery. Pragmatic engineering.

A four-phase delivery process that keeps stakeholders aligned while the solution moves steadily to production.

01
Phase 01
Discovery & Solution Framing

We clarify goals, data sources, integration points and constraints, then propose a target architecture and phased roadmap aligned to your priorities and budget.

02
Phase 02
Architecture & API Design

Data models, API contracts, security posture and observability requirements are defined before heavy implementation begins—reducing costly rework.

03
Phase 03
Iterative Implementation

Features are built in short sprints with regular demos, CI/CD pipelines from day one, and integration with your identity, logging and monitoring stack.

04
Phase 04
Hardening, Launch & Handover

Performance, security and resilience hardening, supported go-live, and complete documentation, runbooks and knowledge transfer for your internal teams.

Engagement models

  • Autonomous delivery pod (we own end-to-end).
  • Co-build partner embedded with your team.
  • Specialist extension for AI & data initiatives.
  • Short-term audit or architecture advisory.

Our commitments

  • Clear milestones and outcome-based progress tracking.
  • Transparent communication with technical and business stakeholders.
  • Architecture designed for future evolution, not lock-in.
  • Clean, documented code handed over after every engagement.
  • Optional post-launch support and monitoring.
About Adventive AI

Built by engineers who ship.

A Jaipur-based technology studio specialising in Agentic AI, data engineering and web applications—helping Indian B2B companies and startups leverage AI and data at scale.

Adventive AI was founded with one belief: the gap between an AI or data idea and a reliable production system should be as small as possible. Too many projects stall in PoC or get delivered as unmaintainable systems. We fix that.

We bring hands-on engineering experience across Databricks Agentic AI, RAG architectures, FastAPI/Python/Node.js web platforms and MongoDB-backed applications—combining the depth of a specialist with the breadth of an end-to-end delivery partner.

Whether you are a startup building your first AI-powered product, a tech company modernising a legacy data stack, or an enterprise looking for a reliable engineering partner—we work with you as a partner, not a vendor.

💬 Let's connect on WhatsApp
Headquarters
Jaipur, Rajasthan
India — remote-friendly globally.
Primary focus
AI & Data
Agentic AI, RAG, pipelines, migrations.
Target clients
Indian B2B tech
Startups and SMEs scaling with AI.
Delivery style
PoC → Prod
We refine PoCs and scale responsibly.
Contact us

Tell us about your project.

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WhatsApp
+91 97397 89864
Email
info@adventiveai.com
📍
Headquarters
Jaipur, Rajasthan, India