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200K+ — Token context per call
Slide 1 of 3
200K+
Token context per call
4–8 wk
First agent in production
3 clouds
API, Bedrock or Vertex
Lower
False-refusal rate
Certified partner platforms
  • Anthropic Claude platform logo
The enterprise challenge

The best model for long documents, careful reasoning and tool use.

Claude is the model of choice for legal, healthcare, financial and technical workloads where nuance, long context and lower false-refusal rates matter. It's also one of the strongest tool-using and computer-use models available.

  • Long-context RAG
    200K+ token contexts fit entire contracts, medical records or codebases without aggressive chunking loss.
  • Tool use & MCP
    Model Context Protocol and tool use enable agents that read, reason and act across enterprise systems.
  • Safety-first design
    Constitutional AI training reduces harmful output while keeping helpfulness on legitimate enterprise tasks.
Capabilities

Full-lifecycle Claude delivery.

01
Model selection

Opus for the hardest reasoning, Sonnet for balanced production workloads, Haiku for high-volume fast paths.

02
Long-context RAG

Retrieval architectures that exploit Claude's 200K+ context for document-heavy workflows.

03
Tool-using agents

Multi-step agents with function tools, MCP servers and human-in-the-loop checkpoints.

04
Computer-use workflows

Screen-reading and action-taking agents for legacy systems where APIs don't exist.

05
Cross-cloud delivery

Anthropic API, AWS Bedrock and Google Vertex AI — chosen for residency, procurement and integration.

06
Managed operations

Prompt regression, safety evaluations and model-version management.

Anthropic Claude-certified talent

Need certified Anthropic Claude talent?

Deploy specialists who have delivered Anthropic Claude implementations across enterprise environments — from design and build through steady-state operations.

  • Certified engineers
  • Solution architects
  • Conversation designers
  • Delivery leads
How we deliver

A six-step model, from assessment to managed operations.

Every engagement follows the same rhythm — so business, IT and delivery stay aligned from opportunity to outcome.

01
Assess

Use cases, context needs and cloud fit.

02
Design

Model tier, retrieval and tool architecture.

03
Pilot

One long-context or agentic workflow.

04
Implement

Agents, MCP tools and evaluations.

05
Scale

LOBs, languages, channels, clouds.

06
Operate

Managed prompts and model refresh.

Where it lands

Use cases already in production with enterprise clients.

Contract & policy analysis

Long-context Claude reads entire contracts, cross-references clauses and drafts redlines.

Clinical & claims review

Reasoning over full patient charts or claims histories with citation-grounded summaries.

Engineering copilots

Whole-repo reasoning for architecture reviews, migrations and code understanding.

Computer-use automation

Agents that operate legacy UIs where APIs are unavailable, with human oversight.

Industry patterns

Industries where this ships fastest

  • Financial Services
  • Healthcare Providers
  • Health Payers
  • Insurance
See industry solutions →
Runs on

Grounded on your data. Governed on day one.

Every platform we implement is only as good as the retrieval, connectors and controls behind it. These are the horizontal solutions we ship with every engagement.

Not sure where to start? Score your organization in 10 minutes.Take the AI Readiness Assessment →
Submit a project brief

Scoping a Anthropic Claude programme? Send us the brief.

Four fields. Tell us the outcome and timeline and a delivery lead for this area replies with indicative scope, team shape and commercial options.

platformAnthropic Claude — routed to this team

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Frequently asked

Questions buyers ask us first.

Claude vs GPT-4o vs Gemini?
Claude leads on long context, careful reasoning and tool use with lower false refusals. GPT-4o leads on ecosystem and multimodal. Gemini leads on native Google Cloud grounding. We benchmark per use case.
Which cloud should we buy Claude on?
Anthropic API for latest features, AWS Bedrock for AWS-standardized enterprises with Guardrails and Knowledge Bases, Vertex AI for Google Cloud shops. We help evaluate against residency, procurement and integration.
How do you handle safety and evaluations?
Constitutional AI baselines plus your own evaluation suites, red-teaming and NIST AI RMF-aligned reviews before production.

How we work

Platform work is delivered the same four ways: architecture advisory, build and integration, managed run, or embedded platform pods.

Who we are

pronix.ai is the AI & CX systems integrator practice of Pronix Inc.

One accountable delivery model: US-based architecture and program leadership with global engineering pods running 24×7 build, cutover and hypercare.

Founded
2010 · Pronix Inc
Headquarters
666 Plainsboro Rd, Suite 1361, Plainsboro, NJ 08536
Delivery centers
United States · India (Hyderabad) · EMEA
Engagement model
Fixed-scope implementation, managed run, staff augmentation and T&M Agile Teams.

Certifications

  • AWS Certified (Solutions Architect, Developer)
  • Amazon Connect specialty
  • Genesys Cloud CX certified
  • NICE CXone certified
  • Salesforce certified (Service Cloud, Agentforce)
  • Microsoft Azure AI certified

Partner tiers

  • AWS Advanced Tier Services Partner
  • Genesys Implementation partner
  • Kore.ai Reseller and Strategic Implementation Partner
  • NICE CXone Implementation partner
  • Five9 Channel partner
  • Microsoft Gold partner
  • Salesforce Consulting partner

Security questionnaires, controls documentation and named client references are available under NDA. More about Pronix Inc

Next step

Book a working session with our anthropic claude team.

30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.