Agentic AI development
Single and multi-agent systems that plan, call tools and act across your enterprise workflows, with human approval where it matters.
Explore services →Agentic AI partner · Multi-cloud delivery · AI FDE staffing
Agentic AI, built and deployed at speed and scale.
DeepSoft AI designs, builds and runs production-grade AI agents on AWS, Azure, Google Cloud, Databricks and Snowflake. When you need hands on keyboards, we embed Forward Deployed Engineers and AI/ML teams that take AI from pilot to production.
We deliver on
AWSAzureGoogle CloudDatabricksSnowflake
deploy / claims-triage-agentexample run
- discover4 claim workflows mapped · SLA and accuracy targets agreed✓ done
- buildLangGraph supervisor + 4 tool agents · policy RAG✓ done
- evaluatefaithfulness 0.94 · answer relevancy 0.91 · PII guardrail pass✓ done
- deployBedrock AgentCore · human approval on payoutsrunning
- operatetracing · cost per claim · drift alertsqueued
PlatformAWS
ModelsClaude · Llama
EvalsRagas · DeepEval
Illustrative runs showing how one engagement moves from discovery to operations on each platform.
Pilot to productionWe own delivery through evaluation, deployment and handover.
Five platforms, one teamAWS, Azure, Google Cloud, Databricks and Snowflake.
Fast onboardingVetted AI engineers start in days, not hiring cycles.
Competitive ratesIndia-based senior talent with transparent monthly pricing.
Partners & clients
Google Cloud
Microsoft
AWS
Anthropic
OpenAI
Databricks- Skillific
- BigAI
- MIT
What we do
One partner for every stage of enterprise AI
Most AI pilots stall between the demo and production. We close that gap with engineers who build, evaluate and ship agents inside your systems, under your governance.
AI FDEs & AI/ML teams
Forward Deployed Engineers, GenAI engineers, ML engineers and complete AI pods that join your team and own outcomes.
Hire talent →Partner Academy
The Agentic AI FDE Certification builds multi-cloud AI delivery skills for your engineers and ours.
View certification →Inside an agent run
Specialist agents do the work. People make the call.
A supervisor agent plans the task, delegates to specialist agents grounded in your data, and hands a decision to a human, with every step evaluated and logged.
Platforms
Native on the cloud and data platform you already run
Your agents should sit next to your data, inside your security boundary. We build natively on each platform instead of forcing a single stack.
AWSBedrock · AgentCore · SageMaker
AzureMicrosoft Foundry · Azure OpenAI · AI Search
Google CloudVertex AI · Gemini · BigQuery
DatabricksAgent Bricks · Mosaic AI · Unity Catalog
SnowflakeCortex AI · Cortex Agents · Snowpark
How we deliver
An end-to-end delivery lifecycle
Every engagement follows the same five stages, so you always know what is done, what is next and how quality is measured.
Discover
Map workflows, rank use cases by value and feasibility, and agree measurable success criteria.
Output: use-case brief + KPIsBuild
Design agents, tools and retrieval on your data, in your cloud and your repositories.
Output: working agent in your stackEvaluate
Test accuracy, faithfulness, safety, latency and cost before anything reaches users.
Output: evaluation reportDeploy
Ship with guardrails, access controls, audit trails and human-in-the-loop approvals.
Output: production releaseOperate
Monitor quality and spend, keep improving, then hand over to your team with runbooks.
Output: SLAs + handover
Case studies
Agentic AI we have taken into production
Multi-agent cloud operations, finance RAG, IP search and drafting, GenAI infringement analysis and bank KYC on a semantic layer.
Cloud & IT operationsMulti-agent cloud operations assistant
One conversation for cost, security, incidents and changes across AWS, Azure, Google Cloud and Databricks, with a person approving every change.
Read the case study →
Financial servicesFinance knowledge assistant with RAG
Analysts ask questions across annual reports, filings, policies and management accounts, and get answers that cite the exact page and table.
Read the case study →
Intellectual propertyIP search and patent drafting assistant
Semantic prior-art search across patents and journals, plus a drafting assistant that proposes claims and differentiation notes for attorneys to refine.
Read the case study →Where agents pay off
Agentic AI across industries
Examples of the workflows we build agents for. Every build starts with your process and your data.
BFSI
Claims, KYC and underwriting agents
Triage claims, pre-check KYC documents and prepare underwriting summaries with a human approving every decision.
Healthcare & life sciences
Clinical and research assistants
Search protocols, literature and patents with cited answers, and draft documentation for expert review.
Manufacturing
Maintenance and supply agents
Answer questions from manuals and sensor data, and plan replenishment with forecasts from your lakehouse.
Retail & e-commerce
Customer resolution agents
Resolve orders, returns and product questions across channels, escalating to people with full context.
IT & software
Engineering and ops copilots
Agentic coding, incident summaries, runbook automation and cloud cost analysis for engineering teams.
HR & operations
Back-office automation
Recruiting screens, policy assistants, invoice checks and reporting agents that cut manual hand-offs.
Why DeepSoft AI
Engineers who stay until it works in production
We are built around the Forward Deployed Engineer model: senior engineers who sit with your users, write code in your stack and stay accountable for the result.
Platform-neutral advice
We recommend the cloud, model and data platform that fits the use case, and explain the trade-offs.
Evaluation first
Every agent ships with an evaluation suite built on Ragas, DeepEval or GENEVAL, so quality is measured, not assumed.
Your IP from day one
Code, prompts, pipelines, evaluation suites and fine-tuned artifacts belong to you from the first commit.
Enterprise-ready
Security reviews, least-privilege access, audit trails and data residency are part of the build, not an afterthought.
Speed with guardrails
Short build cycles with a working demo every sprint, and human-in-the-loop controls before anything goes live.
Skills that stay with you
Pairing, runbooks and our Partner Academy certification leave your team able to run what we build.
What does DeepSoft AI do?
We are an Agentic AI partner. We design, build, evaluate, deploy and operate AI agents and GenAI applications on AWS, Microsoft Azure, Google Cloud, Databricks and Snowflake, and we provide AI Forward Deployed Engineers and AI/ML teams through staff augmentation.
What is an AI Forward Deployed Engineer?
A senior engineer who embeds with your business and technical teams, frames the problem, builds the AI system in your stack and stays accountable until it works in production. It differs from classic staff augmentation, where engineers execute tasks your team defines.
How quickly can engineers start?
Share the role, stack and start date. We send matched profiles of vetted engineers, you interview them, and selected engineers onboard into your tools and stand-ups in days rather than a full hiring cycle.
Which models do you use?
We are model-agnostic: Anthropic Claude, OpenAI GPT, Google Gemini, Meta Llama, Mistral and other open models from Hugging Face. We pick per task based on quality, latency, cost and data-residency needs.
Who owns the code and IP?
You do. Code, prompts, pipelines, evaluation suites and fine-tuned artifacts belong to you from the first commit, and our engineers work under your NDAs and access policies.
Have an AI pilot that needs to reach production?
Tell us about the workflow. A senior AI engineer replies within one business day with a suggested approach, platform and team shape.