Agentic AI Services

From AI ambition to production-grade agentic systems.

Vstorm helps mid-market teams identify the right AI opportunities, redesign workflows, architect secure systems, and build agents that operate inside real business processes.

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Featured services

The same services you will find
in our primary navigation

Six focused offers that match how buyers search and buy — plus a deeper technical catalog below for framework-specific and long-tail needs.

Featured 01
Systems &
retrieval

Multi-agent networks, production RAG, and LangChain workflows — the build paths most mid-market teams start with.

Start with a discovery call
01
Multi-Agent development
Collaborative agent network engineering
 02
RAG Advanced Engineering
Retrieval pipelines with evals and production guardrails
 03
LangChain Development
Production LangChain systems and agent workflows
Featured 02
Advisory &
Pydantic

Consulting that scopes the build, plus type-safe Pydantic and Pydantic AI engineering for structured LLM systems.

See how we deliver
01
AI Consulting & Advisory
Discovery, ROI mapping, and a path to first Proof of Value
 02
Pydantic Development Services
Type-safe Python services and validated data pipelines
 03
Pydantic AI Development Services
Structured LLM agents with typed outputs and Logfire
Case studies

Results from production, not pilot decks

All case studies
STCC zero-hallucination clinical triage system

0 hallucinations across 329+ validation scenarios

“Beyond saving engineering teams hundreds of valuable hours each quarter, Synera aims for the easiest to use AI agent platform…”

2 hrs → 3 min

to generate a workflow

Andrew Sartorelli

Head of Product Management · Synera

Mixam multi-agent product advisor

95.4% success rate in workflow results

Read case study

US Telecom

Field installation and error-handling agents running across 150,000+ households.

98%

device activations automated
Next step
Map your highest-value AI use case

A 30-minute call with an engineer — one workflow, the data behind it, and a realistic path to production. No pitch deck.

Book a free consultation
Methodology

Every engagement ships the same way

Whichever service you pick, the engagement runs through the same TriStorm path — so you always know what happens next and what you get at each stage.

Strategic alignment and planning

Identify where agentic AI creates the highest operational leverage in your business — before any architecture or code.

  • Workflow and use-case audit across your operations
  • Prioritized roadmap with an ROI model per use case
  • Readiness and governance assessment

Proof of Value

Prove the approach on your real workloads, so the go/no-go decision rests on evidence, not a slide.

  • Working prototype built on your data and workflows
  • Accuracy, latency, and cost measured against agreed criteria
  • Feasibility report with a clear go/no-go recommendation

Solution architecture

Translate the validated use case into a production-ready blueprint.

  • System architecture and agent topology matched to task complexity
  • Security, compliance, and integration plan for your environment
  • Technical specification with timeline, dependencies, and resourcing

Build and deployment

Build, integrate, and deploy the system inside your environment.

  • Agents connected to your systems, data, and processes
  • Eval suites and observability wired from day one
  • Production rollout with operator training and documentation

Operate and transfer

Monitor, improve, and hand the system over to your team.

  • Production monitoring with continuous evals
  • Cost and performance tuning as usage grows
  • Structured knowledge transfer — your team owns and operates the system
  1. 01

    Custom LLM-based software

    Building secure custom LLM-powered applications that search, understand meaning and converse in text utilizing your company's data without privacy risks.

    LLM
  2. 02

    Large Language Models development

    Fine-tuning, prompt engineering and personalization of open source LLMs for specific industries and use cases to increase accuracy, efficiency, security and privacy.

    LLM
  3. 03

    Custom AI chatbot development

    Artificial intelligence chatbot development creates advanced chatbots to automate communication and support business processes.

    Capability
  4. 04

    LlamaIndex development

    Unlock unstructured and big data with LlamaIndex — custom LLM solutions that turn complex data into actionable insights.

    Framework
  5. 05

    LLM Ops service

    Efficiently optimize, scale, and manage your Large Language Models with tailored LLM Ops solutions.

    Operations
  6. 06

    ML Ops service

    Efficiently optimize, scale, and manage your Machine Learning models with tailored ML Ops solutions.

    Operations
Common questions

Frequently asked questions

Where should we start? +
If you need clarity on use cases, readiness, or ROI before you build, start with AI Consulting & Advisory. If you already know the system — multi-agent, RAG, LangChain, or Pydantic — go straight to that service. Every engagement still opens with a Proof of Value on your real workloads, so you validate before you commit to full delivery.
What if we do not have a defined use case yet? +
That is the most common starting point. The Strategic alignment and planning phase audits your workflows, surfaces automation candidates, and ranks them by expected ROI. You leave with a prioritized roadmap you can execute — with us or on your own.
Can we go straight to building? +
Yes. Engagements start where you are today — if the use case is already defined, we begin with a Proof of Value on your real workloads and move to architecture and delivery once the evidence supports it.
How long until we see a working system? +
The first Proof of Value typically lands in about three weeks. Production timelines depend on the integrations and compliance requirements involved — the solution architecture phase produces a concrete timeline before the build starts.
How is an engagement priced? +
Each phase is scoped and priced separately, and you commit to one phase at a time. The Proof of Value gives you measured results and a feasibility report before you commit to a full build — no long-term contract up front.
Does the system run in our environment? +
Yes. We design for your security and compliance constraints — systems run in your cloud or on-premises, grounded in your company's data. We have delivered HIPAA-compliant healthcare systems and on-premises LLM deployments.
Which frameworks and stacks do you work with? +
We are an official Pydantic implementation partner and build with Pydantic AI, LangChain and LangGraph, and LlamaIndex, backed by LLM Ops and ML Ops practices for production operations. Framework choice follows your constraints — it is part of the consultation, not a default.
How do you avoid vendor lock-in? +
Knowledge transfer is built into delivery. We work embedded with your team, explain architectural decisions as they are made, and close every engagement with documentation, runbooks, and training — so your engineers own and operate the system independently.
Where can we see proof? +
Our case studies publish real numbers from 30+ production deployments — including a zero-hallucination clinical triage system validated across 329+ scenarios and a workflow generator that cut a 2-hour task to 3 minutes. See vstorm.co/case-studies.
Work with us

Not sure which service fits? Let's map it together.

Book a free 45-minute consultation. We'll identify the highest-value AI opportunity for your business.

Book a Discovery CallSee case studies