Senior advice from strategy to production code
Our consultants work at three levels: business strategy, functional design and hands-on engineering. Bring us a goal, a roadmap or a system that needs fixing, and we will meet you where you are.
Three kinds of consultation
Business consultation
Decide where cloud and AI will pay off before you spend on them.
- AI and cloud strategy and roadmaps
- Business cases, ROI models and vendor selection
- Operating model and team design
Functional consultation
Turn strategy into processes, requirements and designs your teams can build.
- Process mapping and requirements
- Data governance and ownership
- Change management and training plans
Technical consultation
Engineers who design, build, review and fix real systems.
- Architecture design and reviews
- Hands-on build and migration
- Performance, reliability and cost tuning
Where our consultants specialize
Agentic AI
Design AI agents that plan, use tools and complete multi-step work safely inside your business.
- Use-case discovery and prioritization
- Agent and tool architecture, guardrails and evaluation
- Human review, audit trails and cost controls
Generative AI and LLM applications
Build assistants, search and document workflows on large language models.
- Retrieval-augmented generation on your data
- Model selection and prompt engineering
- Private deployment and data protection
Big data and analytics
Get trustworthy numbers from data that is too big or too scattered today.
- Lakehouse and warehouse design
- Streaming and batch pipelines
- Dashboards, metrics and self-service analytics
Distributed computing
Systems that scale across machines, regions and clouds without falling over.
- Event-driven and microservice architecture
- Kubernetes, queues and caching
- High availability and disaster recovery
Cloud architecture and migration
Plan, migrate and modernize on AWS, Microsoft Azure, Google Cloud and Oracle Cloud.
- Landing zones and account structure
- Migration waves and cutover plans
- Multi-cloud and hybrid designs
FinOps and cloud cost optimization
Spend less on cloud without slowing teams down.
- Cost visibility, tagging and chargeback
- Rightsizing and commitment planning
- Data transfer and egress reduction
DevOps and platform engineering
Ship faster with internal platforms, automation and infrastructure as code.
- CI/CD pipelines and release safety
- Terraform and policy as code
- Developer platforms on VergForge or your own stack
Data engineering and MLOps
Move models from notebook to dependable production service.
- Feature stores and model registries
- Training and inference pipelines
- Monitoring for drift, quality and cost
Modernization
Bring legacy applications forward without a risky big-bang rewrite.
- Application assessment and roadmap
- Strangler-pattern refactoring
- Database and integration modernization
Independent advice across every major cloud
We are not tied to one vendor, so our recommendations follow your workload, your data and your budget.
- Amazon Web Services
- Microsoft Azure
- Google Cloud
- Oracle Cloud Infrastructure
- Kubernetes
- Databricks
- Snowflake
- Apache Spark
- Apache Kafka
- PostgreSQL
- Terraform
- Leading LLM providers
Names are trademarks of their owners and are listed to describe the technologies we work with. Listing does not imply partnership or endorsement.
Work with us the way that fits
Advisory
Short, fixed-scope reviews and workshops with a written recommendation.
Project
A defined outcome, timeline and price, delivered by a dedicated team.
Embedded team
Our engineers join your team for a longer program of work.
Ongoing support
Monthly hours for architecture guidance, reviews and on-call help.
Start with a free discovery call
Tell us what you are trying to achieve. We will suggest a scope, a team and a fixed price for the first phase.