Technologies
The right stack for the job, not a preferred-vendor shortlist.
We work across leading models, enterprise platforms and data infrastructure. The final architecture follows your systems, security boundary, operating constraints and the job the agent must do.
Technology names indicate platforms we can design around and integrate with. They do not imply vendor endorsement, certification or partnership.
Foundation models
Model choice is an architecture decision.
We select and evaluate models against the workflow: quality, latency, cost, data handling, tool use and deployment constraints.
Anthropic Claude
Reasoning, analysis and tool-using agents with strong instruction-following.
MODEL PROVIDERGoogle Gemini
Multimodal agents across text, image, audio and large-context workloads.
MODEL PROVIDEROpenAI
General-purpose reasoning, structured output and multimodal agent workflows.
MODEL PROVIDERxAI Grok
Reasoning and real-time information workflows using the Grok model family.
MODEL PROVIDER
Microsoft Copilot
Microsoft model experiences for enterprise work across Microsoft 365, Windows and Azure.
MODEL PROVIDER01 / Build layer
Agent orchestration
The frameworks and engineering patterns that turn a model into a bounded, observable workflow.
LangGraph
Stateful workflows, durable execution and human review points.
CrewAI
Role-based multi-agent coordination for defined operational tasks.
Microsoft Semantic Kernel
Enterprise agent orchestration across .NET, Python and Java.
Pydantic AI
Type-safe Python agents with explicit validation and dependencies.
Model Context Protocol
A standard interface for exposing tools and context to agents.
MarkAI/Opal
Agent orchestration for marketing and digital experience work, from Optimizely.
02 / Experience layer
Content, marketing and digital experience
Platforms where agents can plan, prepare, validate and route customer-facing work.
Optimizely
Content, experimentation and digital experience workflows with native agent orchestration.
Adobe Experience Cloud
Content, campaign, analytics and personalisation operations.
Sitecore
Content, experience and personalisation workflows.
Contentful
Structured content operations for composable digital experiences.
HubSpot
Marketing, sales and service workflows within the HubSpot platform.
03 / Operational layer
CRM, service and workflow systems
Systems of record and work queues that agents can read from and act within under controlled permissions.
Salesforce
CRM, service, sales and Agentforce-connected workflows.
Microsoft Dynamics 365
CRM and business operations across the Microsoft stack.
ServiceNow
IT, employee and customer service workflow automation.
Atlassian
Jira and Confluence workflows for delivery and knowledge operations.
04 / Data layer
Cloud, data and retrieval
Production infrastructure for model access, governed data, retrieval and durable agent state.
Microsoft Azure
Enterprise hosting, identity, model access and AI operations.
AWS
Cloud infrastructure and managed foundation models through Bedrock.
Google Cloud
Cloud infrastructure, data services and Vertex AI.
Databricks
Lakehouse data and Mosaic AI for governed enterprise workloads.
Snowflake
Enterprise data and Cortex AI within the Snowflake platform.
MongoDB
Operational document data and vector search for retrieval.
PostgreSQL
Durable relational data and pgvector-based semantic retrieval.
Railway
Managed deployment and infrastructure for agent services and supporting workloads.
Vercel
Web application delivery and serverless infrastructure for agent experiences.
05 / Control layer
Evaluation, observability and delivery
Tools that make agent behaviour testable, traceable and maintainable after launch.
LangSmith
Tracing, evaluation and monitoring for agent workflows.
Arize Phoenix
Open-source tracing and evaluation for LLM applications.
Weights & Biases
Experiment tracking, evaluation and model operations.
Guardrails AI
Structured validation and safeguards around model outputs.
GitHub
Version control, delivery automation and governed change history.
Selection principle
Your stack remains yours.
We prefer supported interfaces, narrow permissions and components your team can operate. Where a simpler workflow or existing platform is the better answer, we say so.
Bring the systems you already run.
We will map the job, identify the cleanest connection points and recommend a stack your team can govern after handover.
What we will ask you