Production-First AI
We design for latency, cost, and reliability, not just demo accuracy.
AI & Data Engineering
AI & Data Engineering
Deploy AI that works beyond demos, agents, automation, and data systems built for production
What we build
- Generative AI & LLM integrations
- Retrieval-augmented generation (RAG)
- Autonomous agents with guardrails
- Data pipelines & warehouse modeling
- MLOps & production monitoring
RAG
Grounded GenAI patterns
<2s
Target assistant latency
24/7
Pipeline & model monitoring
MLOps
Governed production rollouts
Production AI
What we deliver
We build practical AI, assistants, automation, and data systems, designed for real business use.
Mantravi helps you move from experiments to production: grounded GenAI, workflow automation, and reliable data pipelines with the guardrails growing teams need.
- AI features grounded in your data, not generic prompts
- Automation that saves hours on repetitive workflows
- Data pipelines ready for analytics and model training
- Governance and monitoring for production AI systems
End-to-end stack
From raw data to production AI
Reliable data infrastructure is what separates demo chatbots from AI systems your business can trust.
- 01
Ingest & model
Warehouses, APIs, and documents normalized with dbt, Airflow, and quality checks.
- 02
Embed & index
Vector search, chunking strategy, and metadata filters tuned for your domain.
- 03
Ground & reason
RAG, structured outputs, and evaluation suites that reduce hallucinations.
- 04
Agents & automate
Supervised workflows with human escalation for high-stakes decisions.
- 05
Govern & audit
Access control, logging, and compliance-friendly patterns from day one.
- 06
Monitor & improve
Latency, cost, drift, and accuracy tracked in production.
Capabilities
AI & data engineering capabilities
Generative AI, RAG, agents, data pipelines, and MLOps, designed for production reliability and measurable ROI.
- 01
Generative AI
LLM-powered assistants, content tools, and knowledge systems grounded in your data.
- 02
Intelligent Automation
Document intelligence, vision workflows, and process automation with human oversight.
- 03
Data & ML Platforms
Analytics pipelines, predictive models, and MLOps built to run at scale.
- 04
AI Consulting
Use-case discovery, feasibility analysis, and ROI modeling for AI initiatives.
- 05
AI Agent Development
Autonomous agents for workflows with supervision and guardrails.
- 06
RAG Development
Retrieval-augmented generation for accurate, grounded responses.
- 07
Machine Learning
Predictive models for forecasting, classification, and recommendations.
- 08
MLOps
Model deployment, monitoring, and retraining infrastructure.
Ready to move beyond demos?
Let's scope your ai & data engineering roadmap
Share your use case, data landscape, and timeline. We respond with a practical plan for RAG, agents, pipelines, or MLOps — whatever fits your stage.
Delivery model
Our AI delivery process
From use-case discovery through governance and MLOps, a production-first path for enterprise AI.
- 01
Discover
Identify high-impact use cases and assess data readiness.
- 02
Prototype
Validate accuracy, latency, and cost with focused pilots.
- 03
Integrate
Connect models to your apps, APIs, and existing workflows.
- 04
Govern
Add access controls, evaluation suites, and audit trails.
- 05
Operate
Monitor, retrain, and expand AI capabilities as usage grows.
Deliverables
What you get at each stage
Concrete outputs from discovery through governed production rollout, scoped to your data and AI maturity.
- 01
Production LLM integrations, RAG systems, and supervised AI agents with evaluation suites
- 02
Data pipelines (dbt, Airflow) and warehouse models feeding analytics and ML features
- 03
MLOps infrastructure for deployment, monitoring, retraining, and access control
Industries
Enterprise SaaSFinancial ServicesHealthcareRetailOperations & Logistics
Why Mantravi
Intelligence you can ship
We embed AI in real workflows with the same rigor as product engineering: clear problem framing, measurable outcomes, and responsibility for what goes live.
Explain
Citation trails and confidence signals on every output
Govern
Auth, audit logs, and human-in-the-loop by default
Scale
Latency, cost, and accuracy tracked after launch
Grounded GenAI
RAG and guardrails to reduce hallucinations in enterprise contexts.
Data Foundations
Pipelines and warehouses that make AI sustainable long-term.
Measurable Outcomes
KPIs defined upfront, time saved, accuracy gains, revenue impact.
Selected work
Client Success Stories
Products we've shipped for teams like yours, with measurable outcomes across conversion, adoption, and operational speed.
Vedlik
AI Tech Intelligence App for Vedlik
Mantravi built Vedlik, a free AI and tech intelligence app for iOS and Android that turns noisy headlines into structured 4-Point Insights, flip-card signals, and a personal Intel Library for developers, founders, and students.
iOS & Android
Cross-platform launch
4-Point
Structured insight format
Plantropan
On-Demand Garden Care App for Plantropan
Mantravi built Plantropan, an on-demand garden care platform where urban residents book trusted professional gardeners. We delivered a modern Flutter app, hardened the Java backend, and eliminated payment lag, memory leaks, and database bottlenecks that were breaking the booking journey.
On-demand
Booking flow
Flutter
Cross-platform app
D.P. Jewellers
Luxury Jewelry Digital Showroom for DP Jewellers
Mantravi digitized the DP Jewellers showroom with a premium React Native app for iOS and Android, a Next.js admin control center for inventory and analytics, and Firebase infrastructure that keeps high-value jewelry catalogs in real-time sync across store and mobile.
Luxury
Digital showroom
Real-time
Inventory sync
Next step
Let's build your ai roadmap
Share your goals and constraints, we'll reply with a practical plan, timeline, and what success looks like for your team.
Who this service is for
- Organizations moving from AI pilots to production, needing RAG, agents, and MLOps with governance.
- Teams with proprietary data who want grounded GenAI assistants instead of generic chatbot wrappers.
- Data leaders building warehouses, pipelines, and ML features on Snowflake, Databricks, or cloud-native stacks.
When to engage Mantravi
- Executive pressure to deploy AI, but internal experiments lack accuracy, latency, or cost controls for production.
- You need retrieval-augmented generation tied to internal docs, CRM, or support knowledge bases.
- Analytics and model training require reliable pipelines, not one-off notebooks.
AI & data platforms
LLM providers, vector stores, data warehouses, and MLOps tooling, specific to AI and data work, not recycled engineering categories.
AI & ML
LLM integrations, agent frameworks, and model training for business workflows.
OpenAI · Anthropic · LangChain · PyTorch
Data
Warehouse-native pipelines and orchestration for analytics and model features.
dbt · Airflow · Snowflake · Databricks
Vector & Search
Embeddings, retrieval, and search infrastructure for grounded GenAI responses.
Pinecone · Weaviate · Elasticsearch
MLOps
Model deployment, experiment tracking, and retraining pipelines at scale.
MLflow · Kubeflow · Weights & Biases
Related Mantravi services
Explore complementary practices, many clients combine product engineering with QA, SEO, or AI delivery.
AI & data FAQs
Common questions about RAG, data readiness, hallucination control, and integrating AI into existing software.
We use RAG, structured outputs, evaluation suites, and human-in-the-loop review for high-stakes workflows.