Engineer AI systems that deploy safely, learn continuously, and actually move the numbers
Infrastructure as a Code
Logging
Android App
User Journey
Containers
User Experience
Success Metrics
Legacy Refactoring
Tracing
Product discovery
iOS Application
Test Automation
Design Systems
Serverless
Release Management
Microservices
Web Application
Performace Testing
Infrastructure as a Code
Logging
Android App
User Journey
Containers
User Experience
Success Metrics
Legacy Refactoring
Tracing
Product discovery
iOS Application
Test Automation
Design Systems
Serverless
Release Management
Microservices
Web Application
Performace Testing
Infrastructure as a Code
Logging
Android App
User Journey
Containers
User Experience
Success Metrics
Legacy Refactoring
Tracing
Product discovery
iOS Application
Test Automation
Design Systems
Serverless
Release Management
Microservices
Web Application
Performace Testing
From first dataset ingest to global rollout, our India-based AI and data teams co-build reliable solutions that customers adopt and businesses trust.
Delivering Across the Spectrum of Generative AI and Data Intelligence
Delivering Across the Spectrum of Generative AI and Data Intelligence
Delivering Across the Spectrum of Generative AI and Data Intelligence
From initial use case discovery to production operations, we provide end-to-end services that convert ideas into scalable, compliant, and measurable AI outcomes. Our comprehensive approach spans strategy and data readiness through model development, integration, and managed lifecycle operations.
AI Strategy & Discovery
Data Readiness
Project Scoping
Risk & Compliance
Transform your vision into a validated AI roadmap through user-centered research, data audits, and responsible AI principles.
Business-Aligned Roadmap
Receive a prioritized initiative plan aligned to value, feasibility, and risk.
Market Tested
Validate concepts with lightweight pilots, reference datasets, and stakeholder reviews.
Risk Mitigation
Identify policy, privacy, and safety risks early to avoid costly pivots.
AI Strategy & Discovery
Data Readiness
Project Scoping
Risk & Compliance
Transform your vision into a validated AI roadmap through user-centered research, data audits, and responsible AI principles.
Business-Aligned Roadmap
Receive a prioritized initiative plan aligned to value, feasibility, and risk.
Market Tested
Validate concepts with lightweight pilots, reference datasets, and stakeholder reviews.
Risk Mitigation
Identify policy, privacy, and safety risks early to avoid costly pivots.
AI Strategy & Discovery
Data Readiness
Project Scoping
Risk & Compliance
Transform your vision into a validated AI roadmap through user-centered research, data audits, and responsible AI principles.
Business-Aligned Roadmap
Receive a prioritized initiative plan aligned to value, feasibility, and risk.
Market Tested
Validate concepts with lightweight pilots, reference datasets, and stakeholder reviews.
Risk Mitigation
Identify policy, privacy, and safety risks early to avoid costly pivots.
Model Development & Integration
RAG
Fine-tuning
Model as a Service
Build high-performance AI features using modern architectures, best practices, and model-agnostic designs.
Rapid Prototyping
Ship proof-of-concepts in 8–12 weeks using agile experimentation and reusable components.
Future-Ready Architecture
Adopt pluggable patterns that switch models, vectors, and providers without rework.
Cross-Channel Reach
Embed AI across web, mobile, chat, and enterprise apps with consistent contracts.
Model Development & Integration
RAG
Fine-tuning
Model as a Service
Build high-performance AI features using modern architectures, best practices, and model-agnostic designs.
Rapid Prototyping
Ship proof-of-concepts in 8–12 weeks using agile experimentation and reusable components.
Future-Ready Architecture
Adopt pluggable patterns that switch models, vectors, and providers without rework.
Cross-Channel Reach
Embed AI across web, mobile, chat, and enterprise apps with consistent contracts.
Model Development & Integration
RAG
Fine-tuning
Model as a Service
Build high-performance AI features using modern architectures, best practices, and model-agnostic designs.
Rapid Prototyping
Ship proof-of-concepts in 8–12 weeks using agile experimentation and reusable components.
Future-Ready Architecture
Adopt pluggable patterns that switch models, vectors, and providers without rework.
Cross-Channel Reach
Embed AI across web, mobile, chat, and enterprise apps with consistent contracts.
Optimization & Growth
Evaluation
A/B Testing
AI Adoption
Accelerate user adoption and ROI through robust evaluation, A/B testing, and continuous improvement.
Measurable Lift
Deliver 20–40% improvement in key KPIs through targeted optimization.
Data-driven Insights
Get actionable signals from telemetry, prompts, and user behavior analytics.
Continuous Enhancement
Run ongoing quality, latency, and cost optimization cycles for durable advantage.
Optimization & Growth
Evaluation
A/B Testing
AI Adoption
Accelerate user adoption and ROI through robust evaluation, A/B testing, and continuous improvement.
Measurable Lift
Deliver 20–40% improvement in key KPIs through targeted optimization.
Data-driven Insights
Get actionable signals from telemetry, prompts, and user behavior analytics.
Continuous Enhancement
Run ongoing quality, latency, and cost optimization cycles for durable advantage.
Optimization & Growth
Evaluation
A/B Testing
AI Adoption
Accelerate user adoption and ROI through robust evaluation, A/B testing, and continuous improvement.
Measurable Lift
Deliver 20–40% improvement in key KPIs through targeted optimization.
Data-driven Insights
Get actionable signals from telemetry, prompts, and user behavior analytics.
Continuous Enhancement
Run ongoing quality, latency, and cost optimization cycles for durable advantage.
Mahine Learning Operations (AI/MLOps)
Pipeline DevOps
Governance
Observability
Operationalize models with reproducible pipelines, clear ownership, and guardrails for quality, safety, and compliance.
Reproducible Pipelines
Standardize data prep, training, and deployment flows with versioning for code, data, and models.
Observability and SLOs
Instrument prompts, latency, quality, and cost to surface issues early and enforce service objectives.
Controlled Releases
Use canaries, feature flags, and rollbacks to ship safely and iterate with measurable impact.
Mahine Learning Operations (AI/MLOps)
Pipeline DevOps
Governance
Observability
Operationalize models with reproducible pipelines, clear ownership, and guardrails for quality, safety, and compliance.
Reproducible Pipelines
Standardize data prep, training, and deployment flows with versioning for code, data, and models.
Observability and SLOs
Instrument prompts, latency, quality, and cost to surface issues early and enforce service objectives.
Controlled Releases
Use canaries, feature flags, and rollbacks to ship safely and iterate with measurable impact.
Mahine Learning Operations (AI/MLOps)
Pipeline DevOps
Governance
Observability
Operationalize models with reproducible pipelines, clear ownership, and guardrails for quality, safety, and compliance.
Reproducible Pipelines
Standardize data prep, training, and deployment flows with versioning for code, data, and models.
Observability and SLOs
Instrument prompts, latency, quality, and cost to surface issues early and enforce service objectives.
Controlled Releases
Use canaries, feature flags, and rollbacks to ship safely and iterate with measurable impact.
AI at Scale
Capacity Planning
Performance Engineering
Cost Control
Scale your AI stack to meet growth while maintaining performance, safety, and cost efficiency.
Seamless Scaling
Handle 10x query growth without performance degradation or downtime.
Cost Optimization
Reduce serving and compute costs by 30–50% through efficient orchestration.
99% Availability
Target 99%+ uptime with multi-region routing, autoscaling, and automated failover.
AI at Scale
Capacity Planning
Performance Engineering
Cost Control
Scale your AI stack to meet growth while maintaining performance, safety, and cost efficiency.
Seamless Scaling
Handle 10x query growth without performance degradation or downtime.
Cost Optimization
Reduce serving and compute costs by 30–50% through efficient orchestration.
99% Availability
Target 99%+ uptime with multi-region routing, autoscaling, and automated failover.
AI at Scale
Capacity Planning
Performance Engineering
Cost Control
Scale your AI stack to meet growth while maintaining performance, safety, and cost efficiency.
Seamless Scaling
Handle 10x query growth without performance degradation or downtime.
Cost Optimization
Reduce serving and compute costs by 30–50% through efficient orchestration.
99% Availability
Target 99%+ uptime with multi-region routing, autoscaling, and automated failover.
Case Study
Enterprise Knowledge Assistant for Global Operations
“Employee answers are faster, policy errors are lower, and our support teams finally trust the system.”
Priya Menon, Head of Operations
30+
Knowledge sources unified for enterprise search
45%
Reduction in average handle time
100%
Policy-aligned responses enforced through guardrails
RAG Architecture with Governance
Connected document stores and systems of record with policy filters and freshness checks.
AI Safety and Compliance
Integrated toxicity, PII redaction, and prompt injection defenses to reduce risk and overhead.
Cloud-Native, Geo-Distributed Serving
Achieved <0.05% downtime with multi-region routing, redundancy, and autoscaling.
Designed for Global Teams
Modular microservices and adapters enabled rapid onboarding for new functions and locales.
Case Study
Enterprise Knowledge Assistant for Global Operations
“Employee answers are faster, policy errors are lower, and our support teams finally trust the system.”
Priya Menon, Head of Operations
30+
Knowledge sources unified for enterprise search
45%
Reduction in average handle time
100%
Policy-aligned responses enforced through guardrails
RAG Architecture with Governance
Connected document stores and systems of record with policy filters and freshness checks.
AI Safety and Compliance
Integrated toxicity, PII redaction, and prompt injection defenses to reduce risk and overhead.
Cloud-Native, Geo-Distributed Serving
Achieved <0.05% downtime with multi-region routing, redundancy, and autoscaling.
Designed for Global Teams
Modular microservices and adapters enabled rapid onboarding for new functions and locales.
Case Study
Enterprise Knowledge Assistant for Global Operations
“Employee answers are faster, policy errors are lower, and our support teams finally trust the system.”
Priya Menon, Head of Operations
30+
Knowledge sources unified for enterprise search
45%
Reduction in average handle time
100%
Policy-aligned responses enforced through guardrails
RAG Architecture with Governance
Connected document stores and systems of record with policy filters and freshness checks.
AI Safety and Compliance
Integrated toxicity, PII redaction, and prompt injection defenses to reduce risk and overhead.
Cloud-Native, Geo-Distributed Serving
Achieved <0.05% downtime with multi-region routing, redundancy, and autoscaling.
Designed for Global Teams
Modular microservices and adapters enabled rapid onboarding for new functions and locales.
Operational Excellence for AI at Enterprise Scale
Quantified results across reliability, velocity, quality, and cost from recent GenAI programs.
99.9%
Service availability for production AI endpoints
40%
Lower cost per answer after inference and retrieval tuning
< 200ms
Median added latency from RAG, safety checks, and guardrails at p95
14 Days
Median time from pilot sign-off to first production release
Operational Excellence for AI at Enterprise Scale
Quantified results across reliability, velocity, quality, and cost from recent GenAI programs.
99.9%
Service availability for production AI endpoints
40%
Lower cost per answer after inference and retrieval tuning
< 200ms
Median added latency from RAG, safety checks, and guardrails at p95
14 Days
Median time from pilot sign-off to first production release
Operational Excellence for AI at Enterprise Scale
Quantified results across reliability, velocity, quality, and cost from recent GenAI programs.
99.9%
Service availability for production AI endpoints
40%
Lower cost per answer after inference and retrieval tuning
< 200ms
Median added latency from RAG, safety checks, and guardrails at p95
14 Days
Median time from pilot sign-off to first production release
Operational Excellence for AI at Enterprise Scale
Quantified results across reliability, velocity, quality, and cost from recent GenAI programs.
99.9%
Service availability for production AI endpoints
40%
Lower cost per answer after inference and retrieval tuning
< 200ms
Median added latency from RAG, safety checks, and guardrails at p95
14 Days
Median time from pilot sign-off to first production release
Our Commitment to
structured process and transparency
Our Commitment to
structured process and transparency
A six step method designed to reduce risk and increase velocity.
A six step method designed to reduce risk and increase velocity.
01
STEP 01
Discover
Clarify business goals, users, data constraints, and success measures.
02
STEP 02
Design
Create a lean blueprint, evaluation plan, and incremental delivery path.
03
STEP 03
Build
Ship value every sprint with demoable increments.
04
STEP 04
Test
Automate quality, safety, and cost tests with continuous monitoring.
05
STEP 05
Launch
Use progressive rollouts with canary and feature flags for controlled impact.
06
STEP 06
Iterate
Evolve prompts, models, and data using a data-driven roadmap and cost visibility.
01
STEP 01
Discover
Clarify business goals, users, data constraints, and success measures.
02
STEP 02
Design
Create a lean blueprint, evaluation plan, and incremental delivery path.
03
STEP 03
Build
Ship value every sprint with demoable increments.
04
STEP 04
Test
Automate quality, safety, and cost tests with continuous monitoring.
05
STEP 05
Launch
Use progressive rollouts with canary and feature flags for controlled impact.
06
STEP 06
Iterate
Evolve prompts, models, and data using a data-driven roadmap and cost visibility.
01
STEP 01
Discover
Clarify business goals, risks, and success measures.
02
STEP 02
Design
Create a lean blueprint and an incremental delivery plan.
03
STEP 03
Build
Ship value every sprint with demoable increments.
04
STEP 04
Test
Automate tests early and monitor performance continuously.
05
STEP 05
Launch
Progressive rollouts with canary and feature flags.
06
STEP 06
Iterate
Steps for Data-driven roadmap and cost optimization.
01
STEP 01
Discover
Clarify business goals, risks, and success measures.
02
STEP 02
Design
Create a lean blueprint and an incremental delivery plan.
03
STEP 03
Build
Ship value every sprint with demoable increments.
04
STEP 04
Test
Automate tests early and monitor performance continuously.
05
STEP 05
Launch
Progressive rollouts with canary and feature flags.
06
STEP 06
Iterate
Steps for Data-driven roadmap and cost optimization.
Recent Highlights in Gen AI and Data Engineering
Highlight
Manufacturing
Highlight
Fintech
Blog
Healthcare
Apr 14, 2025
Highlight
Manufacturing
Highlight
Fintech
Blog
Healthcare
Apr 14, 2025
Highlight
Manufacturing
Highlight
Fintech
Blog
Healthcare
Apr 14, 2025
Start simple. Learn fast.
Tell us your use case and we will propose a two sprint plan within five business days.
Timezone Availability
India based squads aligned to your time zones for real time collaboration
Best Practices
Security first coding with threat modeling and secure SDLC practices
Management Layer
Strong product management discipline, not only engineering resources
Transparent Pricing
Predictable pricing models with transparent burn down reporting
Ready to ship with confidence?
Start simple. Learn fast.
Tell us your use case and we will propose a two sprint plan within five business days.
Timezone Availability
India based squads aligned to your time zones for real time collaboration
Best Practices
Security first coding with threat modeling and secure SDLC practices
Management Layer
Strong product management discipline, not only engineering resources
Transparent Pricing
Predictable pricing models with transparent burn down reporting
Ready to ship with confidence?
Start simple. Learn fast.
Tell us your use case and we will propose a two sprint plan within five business days.
Timezone Availability
India based squads aligned to your time zones for real time collaboration
Best Practices
Security first coding with threat modeling and secure SDLC practices
Management Layer
Strong product management discipline, not only engineering resources
Transparent Pricing
Predictable pricing models with transparent burn down reporting