AI & Cloud Consultancy

Cloud spend climbing. AI ambition stalling. Legacy systems in the way.

Velocitum is an AI and cloud consultancy helping companies optimize AWS, deploy production AI, and modernize the legacy systems holding both back.

See how it works

Four ways we work with our clients.

Engagement scope, deliverables, and timelines defined upfront — so you know exactly what you're getting.

i.

Cloud Cost & Security Review

A focused assessment of your existing AWS environment, delivered in two to four weeks. We identify cost reduction opportunities, security gaps, and architectural risks — and deliver a prioritized remediation roadmap aligned to the AWS Well-Architected Framework.

Most engagements identify 20–40% in cost savings
ii.

Agentic AI Systems

We design and deploy production AI agents on Amazon Bedrock and other enterprise AI platforms — multi-step reasoning systems, conversational interfaces, and intelligent automation integrated with your data and applications. Built on serverless AWS, with the security and reliability standards required by regulated industries.

iii.

Cloud Architecture & Migration

Velocitum delivers serverless AWS architectures and migrates workloads from on-premises and legacy environments to cost-efficient, scalable AWS-native designs — with infrastructure-as-code, security, observability, and CI/CD built in from the first commit.

iv.

Legacy Modernization

We modernize Oracle ADF, enterprise Java, and Spring Boot applications into cloud-native, AI-enabled platforms. Our methodology preserves business logic, minimizes risk to production systems, and creates a path to continuous delivery on modern infrastructure.

What working with Velocitum looks like.

Every engagement follows the same shape: a no-pitch discovery call, a fixed-scope first deliverable, and an option to expand into adjacent work — never an open-ended retainer.

Step 1

Discovery call

30 minutes

A no-pitch conversation about your AWS environment, AI ambitions, and the constraints in the way. We leave with a clear sense of fit, and you leave with a recommended starting point — often before any contract is signed.

Step 2

Engagement scope

1–2 weeks

We define a fixed-scope first engagement with explicit deliverables, milestones, and pricing — usually a Cloud & Security Review or a focused AI proof-of-concept. No open-ended hourly billing.

Step 3

First deliverable

2–4 weeks

For Cloud & Security Reviews: a prioritized remediation roadmap aligned to the AWS Well-Architected Framework. For AI engagements: a working agent in staging with the architecture decisions documented as ADRs.

Step 4

Production & beyond

Long term

Remediation, build-out, or expansion into adjacent work — handled as a sequence of scoped engagements rather than an open-ended retainer. You always know what you're paying for and what ships next.

Where does your AWS and AI roadmap need the most attention?

Most technology leaders we work with are juggling cost pressure, AI ambition, and legacy weight at the same time. Check what applies — we'll point you to the right next step.

Quick self-check
Tap each item that sounds familiar. Your result and recommendation will appear below.
AWS bill grew more than 20% year-over-year without proportional growth in usage
Multiple production workloads running on EC2 with low or unknown utilization
Limited visibility into cost-per-environment, cost-per-team, or unit economics
Open security findings or compliance gaps from your last audit or review
Manual deployment steps or limited CI/CD coverage across services
Exploring AI use cases but unsure where to start or what's realistic for your stack
Piloted ChatGPT, Copilot, or similar tools — but no production AI agents in your stack yet
Customer-facing or internal workflows where an AI agent would add real value
Sensitive data or compliance requirements making generic AI tools a non-starter
Legacy systems (Oracle ADF, Java/Spring, on-prem) holding back modernization or AI initiatives
You flagged 0 of 10 common indicators
Tap an item above to see your personalized recommendation.

The standards every engagement is held to.

Senior architects, end to end

Engagements at Velocitum are led by senior architects with deep AWS and AI specializations. Clients work directly with the people designing and reviewing the systems being built — not a sales team that hands off to junior delivery resources.

Production-grade engineering

Every engagement follows the same engineering discipline: infrastructure-as-code, automated CI/CD with lint, type-check, and test gates, multi-tenant and migration-ready data design, and cloud architecture review aligned to the AWS Well-Architected Framework.

Partner-backed delivery

Velocitum is an AWS Registered Partner and works with a curated set of AI platform and infrastructure partners. This lets us bring enterprise-grade tooling — agentic AI platforms, white-label SaaS infrastructure, and specialized AWS services — to clients of every size.

Outcome-aligned scoping

We scope engagements around defined outcomes and milestones rather than open-ended hours. Clients know what they're getting, what it costs, and when it ships.

The technical depth behind every engagement.

AI & Agent Development

Amazon Bedrock · Anthropic Claude · Retrieval-augmented generation · Multi-agent orchestration · Conversational AI · Tool use and function calling · Human-in-the-loop workflows · Bedrock Guardrails

AWS Cloud & Serverless

AWS CDK v2 · Lambda · API Gateway · DynamoDB · Aurora PostgreSQL · S3 · Secrets Manager · CloudWatch · IAM · VPC · Step Functions · EventBridge

Application Modernization

Oracle ADF · Java / Spring Boot · REST and GraphQL APIs · Microservices decomposition · Database migration · Domain-driven design · Event-driven architectures

DevOps & Quality

GitHub Actions · CI/CD pipelines · Infrastructure-as-code · Automated testing · Security scanning · Observability and monitoring

What we build, in practice.

Healthcare · Multi-tenant SaaS

AI Patient Engagement System

An SMS-based conversational agent that re-engages patients in English and Spanish. Integrates with practice management systems, supports multiple clinic tenants on shared infrastructure, and is designed to migrate data layers without downtime.

Key outcomes

Patients re-engaged via natural SMS conversation · Bilingual (EN/ES) with no separate codepath · Clinic staff see structured appointment data, not raw transcripts

Deployment

Serverless from day one — no EC2 instances to manage. CDK v2 provisions all infrastructure. GitHub Actions deploys on merge. Costs scale to zero when idle.

A firm built for the work that matters.

Headquarters
Fremont, California
Partner Status
AWS Registered Partner
Sectors
Healthcare · Financial Services · Technology

Velocitum Software is an AI and cloud consultancy headquartered in Fremont, California. The firm specializes in agentic AI systems on Amazon Bedrock, AWS cloud architecture, and the modernization of enterprise Java and Oracle applications.

Velocitum works with growth-stage and enterprise clients across healthcare, financial services, and technology sectors — bringing the engineering rigor of large consultancies to organizations that need senior expertise without the overhead.

Discuss your AI and cloud roadmap.

Velocitum offers a complimentary 30-minute discovery session for organizations evaluating cloud cost optimization, AI agents, AWS migration, or legacy modernization initiatives.