Anthropic partner network
Claude AI solutions for the enterprise
Claude Enterprise, Claude Code, the Claude API and MCP: we put Anthropic's models to work in your teams and systems — from first pilot to production.
Meet Claude
Claude, Anthropic's family of models
Claude is Anthropic's family of AI models. We assess the available model and product options against task quality, latency, cost and the data-handling terms of the selected offer. Model availability and capabilities change over time.
Most capable
Claude Opus
Complex reasoning, long-form analysis, expert tasks — the frontier model for the most demanding problems.
The balance
Claude Sonnet
An option to evaluate when balancing capability, response time and cost on your workload.
Fastest
Claude Haiku
An option to evaluate for lower-latency, higher-volume tasks, subject to the required quality and current product availability.
Use cases
Where Anthropic's models excel in the enterprise
Six grounds where we deploy Claude — from software engineering to sensitive documents.
Engineering teams
Claude Code deployed with your conventions, reviews and pipelines: fixes, tests and migrations shipped faster, under human control.
Long-document analysis
Framework contracts, annual reports and tender files: assess document coverage, context limits and source verification on representative material.
Agents via MCP
Agents that read your repositories and act in your tools through governed MCP servers — not brittle one-off integrations.
Support & operations
Answers sourced from your knowledge base, incident summaries and communication drafts, with human escalation built in.
Legal & compliance
Clause review, version comparison and obligation mapping across documents running to hundreds of pages.
Sensitive data
Deployment options for regulated sectors, contractual data commitments and usage logging for your audits.
FAQ
Frequently asked
What does Claude Enterprise add over individual plans?
Enterprise procurement concerns account administration, security controls, data handling and contractual requirements. We verify the features and commitments of the actual offer before defining configuration, training and governance.
Is Claude Code suitable for a large engineering team?
Yes — provided you deploy it as a team tool, not an individual gadget: shared conventions in the repo, systematic human review, CI integration and measured gains. That is exactly the framing we set up, with developer training included.
What is MCP and why does it matter?
MCP is a protocol through which a compatible assistant can access defined tools and context. It does not replace an underlying software interface, grant permissions or guarantee compatibility with every client. Hunter BI develops and tests these integrations for the agreed environment.
Is our data used to train Claude?
Not by default: on Anthropic's commercial offerings — Claude Enterprise and the Claude API — your data is not used to train the models. We document these contractual commitments in your compliance file and back them with appropriate access controls and logging.
Claude Enterprise, Claude Code and the API
The right entry point depends on the work. A managed workspace supports employee adoption and administration. Claude Code concerns a development environment and a team's engineering practices. An API integration is a software project with its own permissions, data flows and operating requirements.
We compare the proposed setup against your requirements instead of assuming that one subscription covers every use. Account administration, usage limits, model availability, data handling and procurement terms need verification for the selected offer. A product name alone is not an architecture or a compliance assessment.
Claude Code adoption with verifiable changes
A first pilot should use an authorised repository and a narrow task whose result can be independently checked. Define the relevant files, coding conventions, expected tests and operations that require a person to approve them. Keep credentials and unnecessary customer data out of the task context.
We help teams practise investigation, test preparation, implementation and review as separate steps. The result is assessed after running the relevant checks and reviewing the diff. Speed matters only alongside correctness, maintenance effort and the time needed for human review.
MCP integration with ERP, CAD and 3D software
MCP exposes selected tools to a compatible assistant. The business application still needs an authorised interface underneath: an API, SDK, supported local automation or an agreed exchange mechanism. We verify that interface on your installation before proposing the connector.
Hunter BI has completed projects involving SAP, Sage X3, 3ds Max and SOLIDWORKS. The published feedback is qualitative: the client works from the assistant and reports increased productivity. The pages describe the scope to investigate for your own project without disclosing customer data or promising the same outcome.
Access, acceptance and ongoing operation
Separate read access from operations that change a record, send a message or replace a file. Define the approving person and the exact action being approved. The connector must report an error or an uncertain result accurately; it must not repeat an operation blindly after a timeout.
Delivery includes the tool catalogue, tested versions, permissions and operating instructions agreed in the project. After a model, client or business-application update, replay the relevant tests. Document what leaves the organisation's infrastructure, including tool results and logs, even if the MCP server itself runs locally.
Deploy Claude in your organisation?
Claude Enterprise, Claude Code, the API, MCP: let's talk through your Anthropic deployment — from scoping to production.