Anthropic & Mistral LLM Solutions
Leverage cutting-edge Large Language Models from Anthropic and Mistral to transform your business operations. From intelligent assistants to document automation, we build LLM-powered solutions that deliver real value.
Why Enterprise LLMs Matter
Large Language Models are transforming how enterprises operate. From automating customer interactions to extracting insights from millions of documents, LLMs unlock productivity gains that were previously impossible.
As partners with both Anthropic and Mistral, we help you select the right model for each use case, build production-grade applications, and deploy with enterprise security and governance.
Customer Service AI
reduction in average response time with AI-assisted support
Contract Analysis
faster contract review with automated clause extraction
Knowledge Management
improvement in employee information retrieval accuracy
Our LLM Services
End-to-end LLM implementation from strategy through production deployment
- Custom AI assistants trained on your knowledge base
- Multi-turn conversation with memory and context
- Integration with internal systems and databases
- Role-based access and compliance guardrails
- Continuous learning and improvement pipelines
- Automated document classification and routing
- Key information extraction from contracts and reports
- Summarisation of long-form content
- Multi-language document processing
- Compliance and audit document review
- Vector database design and optimisation
- Custom embedding pipelines for your data
- Hybrid search with semantic and keyword retrieval
- Citation and source tracking for trustworthy outputs
- Integration with Databricks for data pipeline orchestration
- Email triage and intelligent routing
- Customer support ticket classification
- Content generation and quality control
- Data entry and form processing automation
- Workflow orchestration with LLM decision-making
- Content filtering and safety layers
- Prompt injection protection
- Output validation and fact-checking pipelines
- Usage monitoring and cost optimisation
- Bias detection and mitigation strategies
- Benchmarking across Anthropic Claude and Mistral models
- Cost-performance analysis for your workload
- Fine-tuning for domain-specific accuracy
- Multi-model architectures for optimal results
- Migration strategies from legacy NLP systems
Our Technology Partners
- Industry-leading safety and reliability
- 200K+ token context windows for complex tasks
- Superior reasoning and instruction following
- Enterprise API with SLA guarantees
- High-performance open-weight models
- Cost-efficient for high-volume workloads
- On-premises deployment options for data sovereignty
- Competitive performance on coding and technical tasks
Implementation Approach
Identify the highest-value LLM use cases for your organisation:
- Process mapping and automation opportunity assessment
- Data readiness evaluation for RAG and fine-tuning
- Model selection and cost-benefit analysis
Rapidly build and test LLM applications:
- Working prototype in 2-4 weeks
- Evaluation against accuracy, latency, and cost targets
- User testing and feedback incorporation
Deploy with enterprise-grade reliability:
- Production architecture with monitoring and observability
- Safety guardrails and content moderation
- Ongoing optimisation and model updates
Ready to Build with LLMs?
Let's explore how Anthropic and Mistral models can transform your operations.