AI Engineering Partner

We design, build and deploy production AI systems.

Jalpa helps companies automate operations, improve customer experiences and launch reliable AI-powered products integrated with their existing workflows.

Book a Discovery Call Explore Our Capabilities
AI orchestrationmodels · tools · guardrails
Customer channelsvoice · web · messaging
Business datadocuments · CRM · APIs
Operationspeople · workflow · decisions
Voice AIRAGAI AgentsWorkflow AutomationEnterprise IntegrationsAI EvaluationMultilingual AI

Client feedback

5.0-rated delivery across complex AI systems.

Verified feedback from completed engagements on Upwork. You can also view Jalpa's Upwork agency profile.

5.0
“Abhishek delivered production-ready AI infrastructure for our platform, integrating multiple LLMs, vector search with Qdrant, memory persistence and agent orchestration. His backend work using FastAPI, LangChain and tracing systems was top-tier. Highly recommended for complex AI/LLM systems.”
AI/ML Engineer for Large Language Model IntegrationJun–Aug 2025 · Upwork client
Production-ready deliveryComplex AI/LLM systems
5.0
“I had a great experience with Abhishek. He completed the project within the time frame and helped me understand the changes, which was very helpful. I would like to recommend him for my future projects.”
RASA Model Conversation SearchJul–Aug 2024 · Upwork client
Clear CommunicatorReliableSolution Oriented
5.0
“Abhishek was wonderful. He made the process of setting up and integrating Ollama with Fabric very easy. He even dedicated his own time to make sure the setup session was efficient. I would definitely work with him again.”
Run Ollama locally through FabricJul 2024 · Upwork client
CollaborativeSolution Oriented

Outcomes first

AI systems built around real business outcomes

01

Increase conversion

Respond, qualify and follow up with prospects across web, voice and messaging channels.

02

Reduce operational workload

Automate repetitive processes while keeping people involved where judgement is required.

03

Improve customer experience

Provide faster, consistent and multilingual customer interactions.

04

Launch AI products faster

Move from concept to a reliable production system without assembling an entire AI team.

What we do

Three ways we put AI to work

Focused service lines, shaped around the system your business needs.

01

Customer Operations AI

Customer-facing teams lose opportunities to slow response times, inconsistent follow-up and repetitive enquiries.

  • Lead qualification and appointment booking
  • Customer-support resolution and escalation
  • Voice AI agents and multilingual interactions

Faster response times · Consistent follow-up

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02

Internal Operations AI

Operational knowledge is fragmented across systems while manual processing creates delay and inconsistency.

  • Enterprise knowledge assistants and RAG
  • Document processing and data extraction
  • Reporting and workflow automation

Less manual work · Faster access to information

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03

AI Product Engineering

AI product teams need to validate quickly without creating fragile architecture or unpredictable model behaviour.

  • AI MVPs and production applications
  • RAG and conversational AI systems
  • Voice AI and multimodal products

Faster product launches · Lower technical risk

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System examples

What we build

Purpose-built systems—not off-the-shelf licences—designed for the workflow, users and infrastructure around them.

01

AI lead qualification and booking systems

02

Customer-support resolution systems

03

Enterprise knowledge assistants

04

Voice AI agents

05

Document-processing workflows

06

RAG applications

07

Internal operations agents

08

AI-enabled SaaS products

09

Model evaluation and monitoring systems

Delivery

From business problem to production system

01

Discover

Understand the workflow, users, data, constraints and the business result the system must create.

02

Validate

Define the architecture and test the highest-risk assumptions through a focused prototype or technical sprint.

03

Build and integrate

Develop the system, connect existing tools and data, then evaluate it against clear success criteria.

04

Operate and improve

Deploy with monitoring, review real-world performance and improve quality as usage and requirements evolve.

See our complete delivery process

Why Jalpa

Engineering depth without unnecessary complexity

We combine applied AI expertise, software engineering and a close understanding of the operational workflow.

  • Production-focused AI engineering
  • Voice AI, RAG and conversational systems experience
  • Integration with existing business systems
  • Evaluation and reliability built into delivery
  • Fast, senior-level execution
  • Practical focus on business outcomes
  • Flexible scope from validation to full implementation

Selected technical work

Systems we have designed and built

Evidence-backed examples from work already represented in Jalpa's portfolio.

AI product engineering

Multilingual AI learning engine

An AI engine for interactive language learning, with quiz generation, streaming responses and multilingual evaluation.

View project details

Customer operations AI

Voice qualification and booking agent

A voice-led receptionist flow that qualifies dental enquiries and transitions qualified prospects into scheduling.

View project details

Internal operations AI

Multimodal retrieval system

A retrieval application that combines multimodal context with an interface for navigating source material.

View project details

Engagement models

Start at the right level

Final scope and pricing depend on system complexity, integrations, data readiness and delivery requirements.

Start a conversation

Have an AI workflow or product in mind?

Tell us what you are trying to improve, automate or build. We will help determine whether AI is the right approach and what a practical implementation would require.

Book a Discovery Call contact@jalpa.co.in