Agentic AI · AI Automation · Forward Deployed Engineering
Enterprise AI agents, engineered for production.
Vidura Consulting is an AI engineering firm. Our forward deployed engineers design, build and operate agentic AI, intelligent automation and the cloud and data platforms beneath them, so AI moves from pilot to P&L.
6–10 wks
discovery to production pilot
Model-agnostic
Claude · GPT · Gemini · open-weight
Build → transfer
your team owns the result
Engineering with
Claude
GPT
Gemini
Llama
Mistral
Model Context Protocol
LangGraph
Agent SDKs
AWS Bedrock
Azure AI Foundry
Vertex AI
Databricks
Snowflake
Kubernetes
Temporal
OpenTelemetry
The AI engineering partner for enterprises that are done with pilots.
Most organisations have proven AI can work. Far fewer have it running inside the processes that drive revenue, cost and risk. Vidura closes that gap with senior engineers who combine architecture rigour, hands-on AI engineering and operational discipline.
- What we do
- Agentic AI engineering, AI automation, forward deployed engineering, data & AI platforms, AI governance, cloud and product engineering.
- Who we serve
- Enterprises and scale-ups in financial services, insurance, healthcare, manufacturing, logistics, retail and SaaS.
- How we deliver
- Senior, embedded engineering pods that take AI from strategy to production and keep it running, using our Srishti · Sthithi · Laya method.
- Where we work
- San Francisco and Bengaluru hubs, delivering across North America, India, the UK, Europe and the Middle East.
Seven practices. One accountable team.
From the first strategy workshop to agents running in production, with every capability you need to adopt AI safely and at scale.
Agentic AI Engineering
Design, build and operate AI agents that plan, use tools and complete multi-step work across your systems, with guardrails, evals and human oversight built in.
Autonomous agents · Multi-agent systems · MCP
AI Automation
Replace brittle, manual and RPA-heavy processes with AI-powered workflows that read documents, make decisions and keep humans in control.
Forward Deployed Engineering
Senior engineers who embed with your teams, sit with your users and ship AI into real workflows, then hand the capability over to you.
Data & AI Platforms
AI is only as good as the context it can reach. We build the governed data foundations, retrieval and knowledge layers that make AI accurate.
AI Governance & Security
Adopt AI with confidence: governance frameworks, risk assessments, red-teaming and continuous evaluation aligned to emerging regulation.
Cloud & Platform
Resilient, cost-efficient cloud foundations and internal developer platforms that let teams ship AI and software safely and fast.
Product Engineering
Design and build AI-native web and mobile products, from discovery and UX through to scalable full-stack engineering.
Not sure where to start?
Two-week AI Readiness Sprint: a ranked use-case portfolio, architecture and business case.
Design. Build. Operate. In one continuous loop.
Named after the three cosmic functions in Indian philosophy (creation, sustenance and renewal), our method keeps strategy, engineering and operations accountable to the same outcome.
Stage 01 · Creation · Design
Srishti
AI strategy, use-case selection, architecture and governance. We decide what is worth building and how it will be trusted.
AI opportunity map
Target architecture
Risk & governance model
Stage 02 · Sustenance · Build
Sthithi
Forward deployed pods build agents, automations and platforms in weekly increments, measured against evals and business metrics.
Production agents & workflows
Eval suites in CI
Integrations via MCP
Stage 03 · Renewal · Operate
Laya
AgentOps, SRE and continuous improvement keep systems reliable, cost-efficient and improving. Then we transfer ownership.
AgentOps & observability
Cost & quality SLOs
Capability transfer
FDE pod · week 1
Embedded, shipping, and demoing to your business owners every Friday.
Engineers who sit where the problem lives.
The companies building frontier AI learned that models only create value once engineers work side-by-side with the people who use them. Our FDE pods bring that model to your enterprise.
Learn the work first-hand
Shadow operators, map real workflows, agree the metric that matters.
Ship weekly into production
Behind evals, security reviews and your change process.
Leave you stronger
Pairing, runbooks and enablement so your team owns what we build.
2 weeks
to a ranked AI use-case portfolio and business case
6–10 weeks
typical path from discovery to a production pilot
24 × 7
follow-the-sun AgentOps from San Francisco and Bengaluru
100%
of agent actions traced, evaluated and auditable
Deep in the workflows that run your sector.
Our engineers bring domain patterns, regulatory awareness and reusable accelerators to each industry we serve.
01
Banking & Financial Services
Onboarding, lending, compliance and fraud operations.
02
Insurance
Claims, underwriting and policy servicing.
03
Healthcare & Life Sciences
Clinical operations, revenue cycle and research.
04
Manufacturing & Industrial
Quality, maintenance, supply chain and field service.
05
Retail & Consumer
Customer service, merchandising and personalisation.
06
Logistics & Mobility
Documentation, exceptions and network planning.
07
Technology & SaaS
AI-native features, copilots and platform scale.
08
Energy & Utilities
Asset intelligence, regulatory reporting and field ops.
Outcomes, not slideware.
Agentic AI · Insurance
A multi-agent claims desk that triages first notice of loss in minutes.
−63%
Time to first adjuster decision
100%
Agent actions traced for audit
AI Automation · Logistics
Turning 40,000 shipping documents a month into straight-through processing.
78%
Documents processed straight-through
4.1×
Throughput per operations analyst
Forward Deployed · B2B SaaS
An embedded FDE pod that shipped an in-product AI copilot in one quarter.
12 wks
Prototype to general availability
−48%
Inference cost per active user
A 2027-ready stack, chosen on merit.
We are model- and cloud-agnostic. These are the platforms our engineers ship to production most often.
Models
- Claude
- GPT
- Gemini
- Llama
- Mistral
- Qwen
- Fine-tuned SLMs
Agents & protocols
- MCP
- A2A
- LangGraph
- Claude Agent SDK
- OpenAI Agents SDK
- Google ADK
- CrewAI
- Temporal
Data & retrieval
- Databricks
- Snowflake
- Postgres + pgvector
- Pinecone
- Weaviate
- Neo4j
- Apache Iceberg
Cloud, evals & ops
- AWS Bedrock
- Azure AI Foundry
- Vertex AI
- Kubernetes
- Terraform
- vLLM
- Langfuse
- OpenTelemetry
Questions leaders ask us first.
Straight answers on agentic AI, automation and how we work.
Generative AI creates content such as text, code or images in response to a prompt. Agentic AI uses generative models as a reasoning engine to pursue goals: it plans multi-step tasks, calls tools and business systems, checks its own work and escalates to humans. Agentic systems complete work rather than only producing content.
For a single, well-scoped workflow, our typical path is a two-week discovery followed by a six-to-ten-week build to a production pilot with real users, evaluation gates and monitoring in place.
Forward deployed engineering places senior engineers directly inside your teams. They learn your workflows first-hand, build and integrate AI solutions in your environment, ship weekly and transfer ownership to your staff. It is the fastest proven path from AI pilot to production.
No. Vidura is model-agnostic. We evaluate frontier and open-weight models on your own tasks and choose on accuracy, latency, cost and data-residency, with architectures that let you switch models as the market evolves.
Every system ships with least-privilege access, human approval on high-risk actions, PII and prompt-injection controls, full audit trails and continuous evaluation, aligned to frameworks such as the EU AI Act, ISO/IEC 42001 and NIST AI RMF.
Have a workflow AI should be running? Let's map it together.
Book a 45-minute strategy session with a Vidura principal. You'll leave with a shortlist of high-ROI AI use cases, the risks to manage, and a realistic path to production.