We are an “AI Native ” firm with deep expertise (600+ design patterns) in

Cloud & AI Native, Data, Observability, and Kubernetes oriented architectures.

Our experience originates from operating at hyperscale at Oracle, Equinix and Saviynt.

Our first principle in Architecture is AI Nativity to optimize code, data, model, streamline infrastructure, and deliver real, measurable results for your business

Our Services

Working With us is Easy!!!

We begin with architecture dispositions and opinions derived from our research and hands on expertise

OUR SERVICES

Full stack AI Solutioning & Architecture: from Infra to AI workloads management

We can accelerate your AI Native journey by designing end-to-end solutions meeting your business outcomes on Day 1, incorporating purpose built, pluggable technologies that evolve as your business transforms.

OUR SERVICES

Low code implementation and migrations

Rapid AI implementation through a best of breed tools selection and low code oriented implementation for a faster time-to-market

OUR SERVICES

Day 1 to N, Autonomous Operational Excellence

Autonomous operations start with deep Observability data combined with autonomous SRE functions that power AI Agents. Agents work in conjunction to achieve Autonomous SRE eliminating and reducing human in the loop (HITL)

OUR SERVICES

Strengthen your MOAT & Monetize

Our IKIGAI framework leverages 600+ metrics to identify the investment areas for top line growth (for your 0-1, 1-N services)

Example Solutions PLAYBOOK ( Observability)

90-day goals to reduce data and log costs by 30% and cut incident resolution time by 50%.

  • Data And Logs Ingestion Optimization Through AIOPS

    FIRST 30 DAYS

    • Reduction of  data dimensionality and redundancy

    • Optimizing sampling rate at atomic levels based on SLA/SLO requirements & prior incidents history

    • Build programmatic controls for the sampling rate for on-demand incident driven adjustments

  • Data And Logs Retention Optimization Through AIOPS

    NEXT 30 DAYS

    • Automated  data density thinning with growing age of the data

    • Aggregate data for storage reduction and increasing query performance

    • Data retention time variance by demography of customers, apps, services

  • Observability Metrics And Dashboard Consolidation

    FINAL  30 DAYS

    • Single source of truth dashboard and harmonized metrics