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Services

We Build AI That Lasts. Here's How.

The right technical solution starts long before the first line of code. We take the time to understand your goals, define a clear path forward, and then build the technology to carry it.

Service 01

AI Consulting & Road-mapping

A comprehensive consulting service that turns business goals into a practical, long-term, cost-effective plan — architecture, data strategy, build-vs-buy analysis, and an execution roadmap your team can act on immediately.

Outcome

A clear execution roadmap backed by sound & cost-effective architecture, realistic timelines, and the technical foundation required to move from strategy to production.

What's Included

  • —AI readiness assessments and use-case prioritization
  • —System architecture design for LLM, RAG, and agent-based systems
  • —Cloud platform and service selection across major providers
  • —Build-vs-buy analysis and vendor evaluation
  • —Data strategy, security, and compliance planning
  • —Technical roadmap and phased delivery planning
  • —Success metrics, evaluation approach, rollout & scaling strategy

Service 02

LLM & Context Engineering

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

Outcome

Deployed LLM and RAG systems that deliver accurate, traceable outputs — supported by observability, evaluation pipelines, and operational controls your team can run.

What's Included

  • —LLM application development using OpenAI, Anthropic, and leading model providers
  • —RAG pipeline design with vector databases and embedding strategies
  • —Document ingestion, chunking, and semantic retrieval
  • —Prompt engineering, evaluation harnesses, and quality metrics
  • —Cloud-based deployment across major infrastructure providers
  • —Monitoring, logging, and cost optimization
  • —Grounded answers with citations, guardrails, and regression testing

Service 03

Agent Engineering

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

Outcome

Deployed AI agents that automate workflows, take action safely, and integrate cleanly into existing business systems without creating new operational risk.

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 cloud deployment across major infrastructure providers
  • —Safety-by-design — permissions, tool constraints, and fallback behaviors

The Non-Negotiables

Governance. Observability. Operations. Built in from day one.

Every system we ship is ingrained with evaluation pipelines, prompt and model versioning, usage monitoring, cost controls, access controls, and incident response runbooks.

✓Model and prompt versioning
✓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
✓Operational SLAs and alert configurations

Engagement Models

Flexible Engagement. Uncompromising Standards.

Advisory

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

Best for: Teams that need direction before committing to a build

Project-Based

Defined scope, real delivery. We build and deploy production AI with clear milestones, evaluation harnesses, and a full operational handoff.

Best for: Specific initiatives with a defined outcome

Partnership

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

Best for: Organizations building AI as a long-term capability

Our Toolbelt

Tool-agnostic. Technically Deep.

We pick tools based on your problem. Our team works with OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, LangChain, LangGraph, Pinecone, Weaviate, and everything in between. That experience means we recommend what actually fits your constraints and your data.

Model Providers

OpenAIAnthropicGeminiLLAMAopen-source models

Orchestration & Agents

LangChainLangGraphLlamaIndexCrewAIcustom orchestrators

Vector Databases

PineconeWeaviateChromapgvector

Cloud Infrastructure

AWSAzureGCPDocker

Evaluation & Observability

LangSmithArizeRagascustom evaluation harnesses

FAQ

Common Questions.

What makes VyomTech.AI different from other AI consulting firms?+
Most AI consulting firms hand you a strategy and move on. We do not. Every VyomTech.AI engagement is staffed exclusively with practitioners who have built and shipped production AI systems themselves — not junior resources learning on your dime. We also build our own AI products, which means we apply the same engineering standards to your code that we demand of software we release under our own name. If it does not work in production, we stay until it does.
What does a production-ready AI system mean?+
A production-ready AI system runs reliably in your actual environment, not just in a notebook or test harness. It has evaluation frameworks so you know when it is working. It has observability so you see when it breaks. It has cost controls so it does not bleed money. And it has documentation so your team can operate it without us. Production systems are built to last.
How long does an LLM or RAG deployment typically take?+
A focused LLM or RAG deployment typically takes four to ten weeks from architecture to production. The range depends on data complexity and how many systems you need to integrate with. We will give you an honest timeline after the first call.
Do you work with companies that are just starting to explore AI?+
Yes. Many of our engagements begin with an AI Strategy & Consulting phase where we assess readiness, prioritize use cases, and build a roadmap before any engineering begins. However, we work with clients that are in the later stages of AI adoption.
What cloud infrastructure do you build on?+
We are platform-agnostic and work across major cloud providers and AI infrastructure stacks. Whether that is AWS, Azure, GCP, or a combination — we choose based on your existing environment, security requirements, and what best fits the problem. We also integrate with leading model providers including OpenAI and Anthropic.

Let us map your fastest path to production AI.

Share your use case and current stack. We will give you an honest technical assessment, outline a practical architecture, and tell you what to build now versus later.

Get a Free AI Readiness Call