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VyomTech

AI engineering services
​that ship—and keep performing.

We design, build, and deploy production-grade AI on AWS—LLM applications, retrieval-augmented generation, and safe agentic automation. The goal is simple: reduce manual work, improve decision quality, and deliver measurable outcomes without getting stuck in proof-of-concept mode.

​SERVICE 01

AI Strategy & Consulting

Senior-led AI consulting that turns business goals into a practical, production-ready plan—architecture, data strategy, and an execution roadmap your team can act on.

Outcome

A clear execution roadmap backed by sound architecture, realistic timelines, and the technical foundation required to deploy AI systems into production.

What's Included

AI readiness assessments and use-case prioritization
System architecture design for LLM, RAG, and agent-based systems
AWS service selection (SageMaker, Bedrock, Lambda, ECS, S3)
Build vs. buy analysis and vendor evaluation
Data strategy, security, and compliance planning
Technical roadmap and delivery planning
Success metrics, evaluation approach, and rollout planning
SERVICE 02
LLM Development & RAG Implementation

Production-grade LLM and RAG systems grounded in your proprietary data—built with evaluation, citations, monitoring, and cost controls for reliability at scale.

Outcome

Production-deployed LLM and RAG systems that deliver accurate, traceable outputs—supported by observability, evaluation, and operational controls.

What's Included

LLM application development using OpenAI, Anthropic, and AWS Bedrock
RAG pipeline design with vector databases and embedding ​strategies
Document ingestion, chunking, and semantic retrieval
Prompt engineering, evaluation harnesses, and quality metrics
AWS-based deployment (ECS, Lambda, S3, OpenSearch)
Monitoring, logging, and cost optimization
Grounded answers with citations, guardrails, and regression testing
SERVICE 03
Intelligent Agent Development

Agentic workflows that take action safely—tool use, orchestration, human-in-the-loop controls, and integrations that fit your operating model.

Outcome

Deployed AI agents that automate workflows, take action safely, and integrate cleanly into existing business systems.

What's Included

Single- and multi-agent architecture design
Tool use and API integrations (CRM, internal systems, SaaS ​tools)
State, memory, and context management
Human-in-the-loop workflows and safety guardrails
Agent orchestration frameworks and testing
Secure deployment on AWS infrastructure
Safety-by-design: permissions, tool constraints, and fallback behaviors
SERVICE 04

AI Governance & LLMOps

The operational discipline that keeps AI stable in the real world—versioning, evaluation pipelines, observability, security controls, and incident-ready operations.

Outcome

Mature LLMOps capabilities that keep AI systems stable, auditable, and cost-effective as usage grows.


What's Included

Model and prompt versioning strategies
Evaluation pipelines and regression testing
Usage monitoring, logging, and cost controls
Access control, secrets management, and security
Bias, risk, and failure-mode analysis
Incident response and rollback procedures
Runbooks, alerts, and operational SLAs for AI systems

Our Approach

A production-first delivery model that reduces risk, validates quality early, and leaves your team with systems they can operate confidently.

1

Discovery

We align on business goals, technical constraints, and success metrics—ensuring we solve the right problems before writing code.

2

Architecture

We design cloud-native AI systems with explicit trade-offs, security considerations, and scalability in mind.

3

Build

Hands-on engineering with frequent demos, working software, and continuous validation against production requirements.

4

Deploy

AWS-backed deployment with monitoring, documentation, and knowledge transfer so your team owns the system end-to-end.

Flexible Engagement Models

Choose the engagement model that fits your team and timeline. Every option is senior-led, AWS-capable, and focused on shipping production AI with measurable impact.

  Advisory

Senior guidance with execution reality. Architecture reviews, feasibility checks, evaluation plans, and technical mentorship for AI and AWS decisions.


Best for: Teams that need direction
           Project-Based

Defined scope, real delivery. We build and deploy production AI systems on AWS with clear milestones, evaluation, and operational handoff.

Best for: Specific initiatives


        Partnership

An extension of your team. Ongoing builds, iterations, and reliability improvements as your AI capabilities mature and usage grows.


Best for: Long-term initiatives

Let's map your fastest path to production AI.

Share your use case and current stack. We’ll give an honest technical assessment, outline a practical AWS-backed architecture, and recommend what to build now vs. later.

Get a Free AI Readiness Call