AI-driven Business Solutions

We have delivered intelligence integrated into business workflows that transforms traditional operations and repetitive tasks into streamlined processes, giving deep data insights.

Fraud & Anomaly Detection

Implemented ML models that cross-reference historical data to detect irregular patterns in fraudulent invoices caused by vendor impersonation.

Product Catalog Enrichment

Used deep-learning models and NER technique to analyze unstructured specifications and extract structured attributes, improving clarity and search relevance.

RFQ-Vendor Matching

Implemented LTR models and recommendation algorithms to match vendor capabilities with buyer requirements, allowing only relevant vendors to participate in bidding.

Procurement Analysis Orchestrator

Used GenAI, AI agents and RAG to transorm information buried within vendor contracts, catalogs, and emails into structured, score-based dashboards.

Industry Experience

We have supported multiple sectors in solving complex challenges unique to their respective domains.

Efficient Vessel Supplies

Efficient Vessel Supplies

Inconsistent arrival times leads to supply chain disruptions. AIS streams and port schedules were ingested to compute accurate arrivals, enabling timely alerts.

IoT Telemetry in Construction

IoT Telemetry in Construction

Set up ETL pipelines to analyze high-velocity, diverse data from construction sites, machinery, and worker wearables enabling real-time predictive maintenance.

Optimized Fleet Efficiency

Optimized Fleet Efficiency

Enabled real-time synchronization between immediate pickup needs and en-route fleets, allowing the best-positioned vehicles to maximize load capacity.

Forecasting Future Supplies

Forecasting Future Supplies

Restaurants struggled with fluctuating demand. Historical sales data and exogenous factors powered time-series models, accurately predicting demands.

Enterprise ready

Resilient Distributed Runtime

A distributed application with poorly designed resilience can transform localized, transient faults into system-wide outages. If a payment gateway goes offline and no fallback exists, the entire site may stop accepting orders — even though the rest of the system remains functional. We have implemented a state-of-the-art solution that offloads these distributed complexities to a standardized runtime.

Pluggable state stores for distributed state management, locks, and pub/sub
Standardized I/O bindings for databases, message queues, and external systems
Supports resilience patterns: circuit breakers, timeouts, and concurrency bulkheads
OpenTelemetry for collecting and sending telemetry data to observability backends

B2B Marketplace

We developed a SaaS where companies - manufacturers, wholesalers, and distributors — can connect and do trade goods and services.

1

Marketplace Listings

Sellers can list their product and service catalogs while buyers can post their specific requirements.

2

ERP Integration

Connect with backend systems and synchronize orders, inventory, customers, and financial data in real time.

3

Premium Features

Supports bulk ordering, long-term contracts, global reach, real-time alerts, flexible payment options.

4

Pricing Disclosure

Businesses can choose to disclose rates only to specific partners they choose to engage with.

Agentic Microservices

We built a platform on top of which highly available, scalable, AI-driven distributed systems can be easily built and deployed — across local, Kubernetes, cloud, and edge environments.

Supports both direct service-to-service invocation and publish-subscribe patterns
Combine stateful services and stateless functions based on application needs
Supports multiple communication protocols, pub-sub brokers, and state & secret stores
Track metrics, logs, and distributed tracing to debug and monitor applications

LLM-powered Agents

Easily build agents equipped with out-of-the-box tools using the LLM of your choice.

Low Latency
Memory Efficient
Structured Outputs
MCP & RAG

Agentic Design Patterns

Has pre-built, reusable templates that simplifies the implementation of multiple agents orchestration.

Iterative Refinement
Human-in-the-Loop
Prompt Chaining
Orchestrator-Workers

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