Engineering enterprise-grade AI, Cloud & Software systems.
Sukruti Intelligence leverages modern AI, cloud, data and software technologies to build scalable, secure and future-ready digital solutions for global enterprises.
A complete enterprise stack, battle-tested at scale.
Technology agnostic, outcome obsessed. We engineer with the right tool for each layer of your enterprise.
We build production-grade AI systems — from LLM applications and RAG pipelines to autonomous agents and computer vision — using best-in-class foundation models and orchestration frameworks.
- Problems we solve
- Knowledge retrieval at scale, decision automation, customer experience, content generation, anomaly detection and predictive forecasting.
- Outcomes enabled
- 30–60% productivity lift across knowledge work, 24/7 intelligent operations and measurable revenue acceleration through AI-native products.
Polyglot engineering teams ship resilient, well-tested enterprise applications, APIs and SaaS platforms using modern frameworks and disciplined SDLC practices.
- Problems we solve
- Legacy modernization, fragmented digital experiences, slow time-to-market and brittle integrations.
- Outcomes enabled
- 2–4x faster release cycles, modular architectures, 99.95%+ availability and engineering velocity that compounds quarter over quarter.
Certified cloud engineers design landing zones, migrate workloads and operate multi-cloud estates with FinOps and SRE rigor across AWS, Azure and Google Cloud.
- Problems we solve
- Cloud sprawl, runaway spend, manual operations, scaling bottlenecks and lack of resilience.
- Outcomes enabled
- 25–40% cloud cost reduction, sub-minute deployments, elastic global scale and 99.99% operational reliability.
We architect lakehouses, streaming pipelines and vector stores that turn enterprise data into a governed, AI-ready asset.
- Problems we solve
- Siloed data, poor data quality, slow analytics, and the inability to ground AI in trusted enterprise context.
- Outcomes enabled
- Real-time decisioning, unified semantic layers, governed self-service analytics and RAG-ready retrieval at petabyte scale.
Industrialized delivery for the AI-native enterprise.
Internal developer platforms, golden paths and SRE-grade operations that turn engineering velocity into a durable advantage.
Trunk-based delivery, progressive rollouts, automated testing gates and DORA-aligned release engineering.
Terraform, Pulumi and Crossplane modules with policy-as-code guardrails and reusable platform blueprints.
Event-driven automation, self-service developer portals and golden paths across AWS, Azure and GCP.
OpenTelemetry, Prometheus, Grafana, Datadog — metrics, logs and traces correlated for SRE-grade visibility.
Production Kubernetes with service mesh, GitOps, autoscaling and multi-tenant platform engineering.
Blue/green, canary and progressive delivery patterns across regulated, multi-region enterprise estates.
A reference architecture for intelligent enterprises.
Six interconnected layers — designed together, governed together — so every technology choice ladders up to a business outcome.
Enterprise outcomes, OKRs, customer journeys and operating model — the north star every layer below serves.
Foundation models, agents, RAG, ML inference and evaluation pipelines — the intelligence fabric.
Web, mobile, APIs, microservices and SaaS platforms delivering experiences and workflows.
Lakehouse, streaming, semantic models, vector stores and master data — the trusted source of truth.
Multi-cloud landing zones, Kubernetes, service mesh, networking and FinOps.
Zero-trust, IAM, encryption, compliance, observability and responsible AI — woven across the stack.
Deep expertise where it matters most.
Practitioner-led CoEs that compound learning, accelerate delivery and de-risk enterprise transformation programs.
- AI Agents
- RAG Systems
- LLM Applications
- Voice AI
- Agentic Workflows
- Responsible AI
- AWS
- Azure
- GCP
- DevOps
- Cloud Security
- FinOps
- Data Platforms
- Analytics
- Data Pipelines
- Business Intelligence
- Streaming
- Governance
- Enterprise Applications
- SaaS Platforms
- APIs
- Mobile Applications
- Microservices
- QA Automation
Trust engineered into every layer.
Enterprise-grade security, privacy and responsible AI controls built in from day one — not bolted on later.
Defense-in-depth across network, application, data and identity — built to enterprise risk frameworks.
SAST, DAST, SCA, threat modeling and secure-by-default templates embedded into every CI/CD pipeline.
ISO 27001, SOC 2, HIPAA, GDPR, RBI and DPDP-aligned controls baked into platform design.
Encryption at rest and in transit, tokenization, masking, DLP and privacy-by-design.
Zero-trust IAM, fine-grained RBAC/ABAC, MFA, PAM and least-privilege automation.
CSPM, CNAPP, workload protection and continuous compliance across multi-cloud.
Technology insights from our practitioners.
Field-tested perspectives on AI engineering, cloud modernization, data platforms and enterprise architecture.
Reference architectures for AI-native enterprises across regulated industries.
Patterns for RAG, agentic workflows, evaluations and responsible AI in production.
Pragmatic playbooks for landing zones, migration, FinOps and platform engineering.
Lakehouse, streaming and governance strategies for the AI era.
Ready to architect your next platform?
Our principal architects partner with your CIO, CTO and Chief Data & AI Officers to design and deliver intelligent enterprise platforms.