Increase conversion
Respond, qualify and follow up with prospects across web, voice and messaging channels.
AI Engineering Partner
Jalpa helps companies automate operations, improve customer experiences and launch reliable AI-powered products integrated with their existing workflows.
Client feedback
Verified feedback from completed engagements on Upwork. You can also view Jalpa's Upwork agency profile.
“It was a pleasure working with Abhishek. He combines strong technical expertise in AI and software engineering with a thoughtful, proactive, and reliable approach. He communicates clearly, works independently, and has been exceptionally flexible and patient as our project priorities evolved. I particularly appreciated his professionalism, commitment, and genuine interest in the rapidly changing AI landscape. I would gladly work with him again and highly recommend him.”
“Abhishek delivered production-ready AI infrastructure for our platform, integrating multiple LLMs (GPT-4, Claude), vector search with Qdrant, memory persistence, and agent orchestration. He built smart intent routing, adaptive curriculum flows, and an automated ticketing system—all with full test coverage. His backend work using FastAPI, LangChain, and tracing/logging systems was top-tier. Highly recommended for complex AI/LLM systems.”
“Abhishek delivered complex multimodal agents within a multi-agent framework. He is flexible, takes ownership, and consistently delivers. He has a pleasant attitude, and it's been easy to work with him. I've found him to be reliable, available, and responsive.”
“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 for me. I would like to recommend him for my future projects.”
“Abhishek was wonderful. He made the process of setting up and integrating Ollama with Fabric very easy! He even dedicated 5 hours of his own time just to make sure that we only spent an hour setting up. Would definitely work with again and would recommend him to anyone.”
“Abhishek delivered a great job in this project and I enjoyed working with him.”
Outcomes first
Respond, qualify and follow up with prospects across web, voice and messaging channels.
Automate repetitive processes while keeping people involved where judgement is required.
Provide faster, consistent and multilingual customer interactions.
Move from concept to a reliable production system without assembling an entire AI team.
What we do
Focused service lines, shaped around the system your business needs.
Customer-facing teams lose opportunities to slow response times, inconsistent follow-up and repetitive enquiries.
Faster response times · Consistent follow-up
Explore this capabilityOperational knowledge is fragmented across systems while manual processing creates delay and inconsistency.
Less manual work · Faster access to information
Explore this capabilityAI product teams need to validate quickly without creating fragile architecture or unpredictable model behaviour.
Faster product launches · Lower technical risk
Explore this capabilitySystem examples
Purpose-built systems—not off-the-shelf licences—designed for the workflow, users and infrastructure around them.
AI lead qualification and booking systems
Customer-support resolution systems
Enterprise knowledge assistants
Voice AI agents
Document-processing workflows
RAG applications
Internal operations agents
AI-enabled SaaS products
Model evaluation and monitoring systems
Delivery
Understand the workflow, users, data, constraints and the business result the system must create.
Define the architecture and test the highest-risk assumptions through a focused prototype or technical sprint.
Develop the system, connect existing tools and data, then evaluate it against clear success criteria.
Deploy with monitoring, review real-world performance and improve quality as usage and requirements evolve.
Why Jalpa
We combine applied AI expertise, software engineering and a close understanding of the operational workflow.
Selected technical work
Evidence-backed examples from work already represented in Jalpa's portfolio.
Voice AI & AI Agent Architecture
India's persona-driven AI Character OS and Creator Studio, empowering creators, influencers, and brands to build, train, and launch culturally nuanced multimodal AI personas.
View project detailsAI product engineering & Agentic Search
Advanced LLMO (LLM Optimization) and agentic search infrastructure powering Jolii.ai's language learning and video quiz engine, scaled to 1,000+ active users.
View project detailsEnterprise NLU & Search Infrastructure
Cross-platform neural and semantic search infrastructure supporting 11 Indian languages, handling 1,000,000+ requests per day across JioTV, JioMart, and Jio set-top box.
View project detailsMulti-Agent Systems & Prompt Engineering
Custom multi-agent System-Prompt Hierarchy for HaiR (Human AI Recruitment) to analyze candidate dialogues, classify interview templates, and match candidates for Data Analyst roles.
View project detailsCustomer operations AI & Workflow Automation
Autonomous B2B outbound pipeline automating prospect research, hyper-personalized email generation, deliverability verification, and multi-channel CRM sync.
View project detailsCustomer operations AI & Voice Agents
Comprehensive SaaS platform providing AI-powered sales agents to automate lead engagement, qualification, and meeting booking 24/7 with human-like interactions.
View project details
AI product engineering
Conversational AI life coaching and career guidance platform delivering real-time voice and video avatar interactions to 500+ users.
View project detailsEngagement models
$5,000
For validating a use case, architecture, feasibility and practical implementation plan before a larger commitment.
Discuss this engagement$10,000+
For designing, engineering, integrating and deploying a complete production AI system.
Discuss this engagement$15,000–$20,000+
For continuous system improvement, support and delivery of additional AI capabilities.
Discuss this engagementFinal scope and pricing depend on system complexity, integrations, data readiness and delivery requirements.
Start a conversation
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.