Data Engineering, GenAI, Agentic AI, and Analytics Delivery
Helping teams turn fragmented data into intelligent products and measurable AI outcomes.
Zenthor Technologies Private Limited builds practical data platforms, decision-grade dashboards, LLM-powered applications, and AI-driven workflows for growing businesses. With 5+ years of delivery experience, we focus on systems that executives can trust and teams can actually use.
- Modern data stacks, lakehouse pipelines, and BI layers
- Generative AI copilots, agentic workflows, and document intelligence
- LLM apps, AI automation, strong UX, and deployment-ready handoff
What We Do
Services designed for companies that need data clarity and real AI execution.
Data Platforms
Build resilient pipelines, cloud warehouses, lakehouse layers, and governance foundations that make reporting faster and cleaner.
Business Intelligence
Create executive dashboards, KPI models, and self-serve reporting experiences that reduce manual analysis and improve decision speed.
GenAI and LLM Applications
Deliver internal copilots, retrieval-augmented generation, document intelligence, knowledge assistants, and domain-specific LLM experiences tied to business workflows.
Agentic AI and Automation
Design multi-step AI agents that can reason across tools, trigger actions, orchestrate workflows, and reduce manual operational work with human oversight where needed.
Representative Projects
High-impact programs that show the benchmark we build toward.
These are representative engagements crafted to reflect the type of work clients expect from a focused data and AI partner.
Consolidated POS, warehouse, and campaign data into a unified model that improved replenishment visibility and reduced avoidable stock-outs.
- Multi-source ELT and semantic KPI layer
- Store-level forecasting dashboards for operations teams
- Executive alerts for margin and availability risk
Designed a real-time command view for delivery exceptions, carrier performance, and AI-assisted root cause summaries with workflow triggers for operations teams.
- Operational dashboards with SLA monitoring
- Anomaly detection for delays and route deviations
- Agentic triage and AI-generated case summaries for support teams
Automated intake workflows for high-volume records using OCR, extraction pipelines, LLM classification, and human-in-the-loop validation.
- Structured parsing from PDFs, forms, and scanned files
- Audit-friendly review queues for operations staff
- Reduced turnaround time for document-heavy processes
Unified lending and payments reporting to support portfolio health, executive visibility, AI-assisted analysis, and faster scenario planning.
- Data quality rules across transactional systems
- Board-ready dashboards with drill-down reporting
- Predictive scoring and LLM-assisted portfolio summaries
Delivery Benchmark
Structured, comfortable UX with a technical backbone.
Our approach balances clarity for business stakeholders with rigor for technical teams. Every engagement is shaped around adoption, not only implementation.
Map business goals, reporting pain points, and AI opportunities.
Create architecture, UX flows, agent behaviors, and rollout milestones.
Ship secure, scalable data and AI solutions with clear handoff and support.
Industries
Experience aligned with data-heavy operating environments.
Why Clients Stay
Clear communication, measurable outputs, and systems that are easy to operate.
“Zenthor translated a messy reporting setup into a decision-ready analytics layer without overcomplicating the stack.”
Operations Lead“The team focused on practical GenAI and agentic AI use cases, which helped us move from pilots to workflows people actually used.”
Head of Digital Transformation“Strong delivery discipline, clean dashboards, and fast iteration. The output felt ready for executive review from day one.”
Founder, US Market Expansion ProgramLet’s Build
Need a partner for data modernization or applied AI delivery?
Zenthor Technologies Private Limited supports businesses that want stronger reporting, cleaner data operations, GenAI products, LLM applications, and real AI adoption.