Our Mission

Facilitate enterprise grade AI/ML solutions that help organizations glean critical insights from data & assimilate into their business processes. Whichever may be the ML journey - improving care channels operational efficiency using inflight cutting edge ml models or uplifting customer experience on digital channels with advanced analytics, you can count on our steadfast partnership for a smooth ride.

AI/ML solutions 100%
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Services

We are a niche group of AI/ML experts with a proven record in delivering pioneering work on all critical facets of a typical ML Solution Lifecycle.
Our service offerings encompass:

Systems

Architecting well designed future proof ML Systems on production grade ML frameworks

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Solutions

We empower end to end ML Program rollouts per latest data pipeline methodologies - composable components supporting fast paced repeatable experimentation

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Operations

Strict adherence to MLOps norms: CI-Continuos Integration, Continuous Delivery, CT Continuous Training.

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Why Choose Us?

Best customer experience on digital channels with advanced analytics

  • Design - Systems
  • Develop - Data & Models
  • Deploy - Operations
Design

Systems

We specialize in architecting high performance, adaptable , hybrid ML systems on both on-prem and cloud landscapes.
  • Architecture Principles: Modular Patterns, Powerful Distributed Training via Data/Model parallelisms on synchronous/asynchronous modes,
  • Elastic Scaling: Container Conformant demand responsive elastic scaling designs that support easy porting and encapsulation
  • Multi Mode Training Capabilities: Dynamic/Static , Continuous InMemory, Adaptable - Inflight data set switching
  • High performance computes via Software & Hardware Accelerators: CUDA, Application Specific ICs - /GPU leveraging SIMD vector processing paradigms
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Develop

ML Solutions

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  • Ingest - Manage Velocity (Batch/RealTime) & Variety (Structured/UnStructured) leveraging high throughput & varying delivery guarantee ingestion techniques: distributed message buses, data replication, unified dataflow models like apache beam
  • Analyze - Part of preprocess events, data is quality monitored on key dimensions : Accuracy / Timeline / Completeness / Consistency with relevant artifacts
  • Engineer: ML ready data assets are generated by transforming raw data from ingestion zone via batch and realtime stream processors.
Deploy

Operations

MLOps is inherently high maintenance due to multiple no of components involved: data/schemas/models/artifacts & the drifts that entail them. We strive to simplify Ops by strict adherence to CI/CD/CT protocols and
  • Easy Deployments - We leverage DAG authored easy to use task Orchestrators: Airflow/Kubeflow/mlflow for creating/monitoring ML workflows.
  • Monitor - sniff & correct all kinds of drifts: sudden/incremental/gradual etc at both data & model
  • Discover & Collaborate:Foundational Knowledge hubs built around marketplace concept interlinks Model Registries & Feature Stores support rapid sprints.
  • Support - Vendor neutral ML frameworks & Task Orchestrators
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