AWS Advanced Tier Partner · Production AI on AWS

Infinite possibilities. Production discipline.

We take enterprise AI past the pilot — Amazon Connect, agentic systems, data and AI/ML platforms, software delivery, and modernization — with AWS engineering depth and delivery you can hold us to.

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  • AWS Advanced Tier Partner
  • SOC 2 attested
  • ISO 27001:2022
  • 10+ years on AWS

Why Cloudnaut exists

AI transformation needs
production engineering.

Enterprise AI rarely fails because the ambition was too small. It fails when strategy, data, applications, security, and delivery ownership drift apart. Most organisations have pilots. Very few have systems their customers touch. That gap is the whole job.

Production AI
Wired into real enterprise workflows, not demo notebooks
AWS depth
Modernization, data platforms, and the engineering to ship them
One team
First workshop to a stabilised handover, through hypercare — then it's yours
Cloudnaut and client engineers mapping an architecture together at a whiteboard
Week one of a modernization program: the legacy estate, data readiness, and security posture mapped into a costed AWS roadmap.

Our approach

Chaos becomes architecture.

One team owns the path from first workshop to a workload running in your AWS account — so nothing falls between vendors.

  1. Assess

    Establish the current state: the systems you run today, the condition of your data, and the cost of the problems you want solved.

  2. Align

    Define the target state, working backwards from the experience your customer should have — one agreed objective, with the measures that define success.

  3. Accelerate

    Build and deploy on AWS to production standards, then stabilise after go-live and train your engineers to operate it.

AI transformation programs

Built around outcomes,
not isolated implementation.

Six programs that compose. Most engagements start with one and pull in the others as the estate opens up.

AI-powered customer experience

Customer experience modernized end to end on Amazon Connect.

  • Amazon Connect transformation
  • AI self-service across voice and chat
  • Agent assist and knowledge integration
  • CRM and enterprise integration
Flagship · Amazon Connect

Enterprise AI systems

AI that plugs into how your organisation actually works.

  • Enterprise agents and assistants
  • RAG and knowledge systems
  • Workflow automation
  • AI governance, evaluation, and monitoring
Bedrock · AgentCore

AI-powered software delivery

Engineering velocity that compounds — governed, tested, secure.

  • Kiro enablement — specs, steering, hooks
  • Spec-driven delivery workflows
  • AI-assisted refactoring and testing
  • Productivity operating models
Kiro · Spec-driven

AWS application modernization

Modernise what matters, retire what doesn't.

  • Legacy assessment and roadmap
  • Cloud-native architecture
  • API-led integration
  • Microservices, containers, DevSecOps
Cloud-native

Data foundations for AI

Production AI is only as good as the data underneath it.

  • Cloud-native data platforms
  • Analytics dashboards and KPI frameworks
  • AI-ready data pipelines
  • Quality and governance
Platforms · Governance

Secure cloud delivery & optimization

Workloads that stay fast, compliant, and cost-disciplined.

  • Security and reliability engineering
  • Hypercare through go-live
  • Performance and cost tuning
  • Runbooks and operational handover
SRE · FinOps
Contact centre operations team reviewing live dashboards
Supervisors on a migrated Amazon Connect platform — real-time queues, agent assist, and analytics in one operational view.

Flagship capability

Amazon Connect for the AI era.

The contact centre is where our AI, AWS, integration, and CX skills converge — from platform design to a hypercare period that proves it holds at peak.

Platform design & implementationGreenfield builds engineered for scale from day one
Legacy migrationMove off aging on-prem platforms without dropping a call
Omnichannel journeysVoice, chat, and messaging designed as one experience
AI self-serviceConversational AI that resolves, not deflects
Agent assist & knowledgeReal-time guidance wired into your knowledge base
CRM & ticketingSalesforce, ServiceNow, and the systems agents live in
Real-time dashboardsOperational visibility for supervisors and leadership
Security & governanceEnterprise controls built in, not bolted on

Data & AI/ML on AWS

Models are the easy part.
The data underneath isn't.

Every AI programme we've rescued failed one layer down — ungoverned data, no lineage, no way to prove which rows an answer came from. We build the lake and the model layer as one engagement, because splitting them is what strands pilots.

The data stack we build on

Where the AI work lands

Own the model

Classic ML where it still wins — forecasting, churn, pricing, anomaly detection. SageMaker training through deployment, with drift monitoring and a retraining path.

SageMaker · MLOps

Rent the model

Managed access to foundation models on Bedrock, customised where it pays — and evaluated honestly against the classic baseline before you commit.

Bedrock · Guardrails

Retrieval that carries lineage

Bedrock Knowledge Bases over your governed data — managed ingestion and indexing, or your own vector store on OpenSearch Serverless, Aurora or Neptune.

RAG · Vector

Agentic AI on AWS

Agents that do the work
— not just the talking.

The next wave of enterprise AI doesn't answer questions; it completes tasks. We build on Amazon Bedrock AgentCore — any framework, any model, MCP and A2A — with the isolation, policy and audit trail your reviewers will ask for.

The stack we build on

Where it earns its keep

Your APIs as agent tools

Gateway converts the OpenAPI specs and Lambda functions you already own into MCP tools behind one endpoint — with credential exchange per tool, so no agent holds a secret.

Gateway · MCP

Back-office agents

Claims triage, document processing, reconciliation — multi-step workflows with human approval gates and full audit trails.

Workflow Automation

Agents that get better

Traces feed evaluation, evaluation feeds recommended prompt and tool changes, and A/B testing proves a change worked before it ships to everyone.

Evaluations · Optimization

How we work

Transformation is a team sport.

Strategy decks don't ship software. Our engagements run as joint teams — your domain experts alongside our AWS engineers, in the room and in the repo, from first workshop to production handover.

Engineers pairing at a workstation during a build sprint
Engagement model

Discovery that ends in architecture, not slideware

Week one · your team + ours

We start in your domain, not ours: mapping the legacy estate, data readiness, and security posture into a costed AWS roadmap you could hand to any builder.

See our approach
Joint delivery squad working together in an open workspace
Delivery

Pairing, not throwing over the wall

Your engineers learn as we build

Joint squads, shared repos, and enablement built into every sprint — so the capability stays when the engagement ends.

Explore services
Client and delivery leads agreeing next steps
Partnership

We don't leave at go-live

Hypercare, then a clean handover

The team that built it stays through hypercare — stabilising, tuning, and training your engineers until they can run it without us.

Amazon Connect
Team reviewing delivery evidence on a laptop
Governance

Discipline that survives an audit

SOC 2 · ISO 27001:2022

Documentation, testing, and security reviews are part of the definition of done — not a phase after the fact.

Why trust us
Senior engineer mentoring a graduate developer
Talent

Growing AWS engineers in Pune

8-week Fresher Enablement Program

AWS Data, AI/ML, GenAI, AgentCore, and Amazon Connect — an intensive that turns graduates into production engineers.

Careers

What makes us different

Specialist AWS focus,
enterprise delivery ownership.

Credentials you can audit, and a way of working that holds up inside real constraints — legacy estates, compliance regimes, change boards.

  • Focused AWS specialization — one cloud, deeply. Not a generalist bench spread across three providers.
  • Continuity of accountability — the team that designs your solution delivers it and answers for the result.
  • Enterprise delivery discipline — governance, documentation, and testing standards that survive an audit.
  • Experience with mature environments — we work inside real constraints, not greenfield ideals.
  • Amazon Connect as a transformation layer — CX modernization as the entry point to broader AI adoption.
  • Security-conscious execution — SOC 2 attested and ISO 27001:2022 certified practices on every engagement.
AWS Advanced TierServices Partner — recognized delivery capability
10+ yearsof AWS delivery experience
SOC 2attested operating practices
ISO 27001:2022certified information security management

Insights

Thinking in production terms.

What we've learned shipping AI systems that real customers touch — written for the people who have to operate them.

Amazon Connect

AWS acquires NLX: conversational AI on Connect in weeks, not months

No-code conversational AI comes to Connect — what the acquisition means for launch timelines, and how to take advantage of it now.

Read article
AI Delivery

AI-powered software delivery needs governance, not just tools

Speed without testing, security, and documentation is just faster debt. The operating model that keeps AI-assisted engineering responsible.

Read article
Production AI

Production AI on AWS: moving beyond pilots

The architecture, governance, and delivery discipline that separate shipped AI systems from stalled proofs of concept.

Read article
Customer Experience

Amazon Connect and AI-powered customer experience

From legacy telephony to AI self-service, agent assist, and analytics — CX as a cloud-native operation.

Read article
Modernization

Why enterprise AI needs modernization before scale

Reliable AI depends on modern applications, connected data, and solid AWS foundations — in that order.

Read article

Next step

Move AI from ambition to production.

Tell us where you are. We'll come back with the shortest path to a workload your customers can touch — and what it takes to run it.

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Cloudnaut Technologies

Office
521–522, 5th Floor, Clover Hills Plaza,
NIBM Undri Road, Kondhwa BK,
Pune, Maharashtra, India