Production-Ready AI Deployed for Enterprise.
Clarivom engineers artificial intelligence solutions, document processing pipelines, and autonomous systems designed to deliver measurable commercial value rather than technical demonstrations.
Submit Project EnquiryWhat's included
Intelligent Assistants
Customer support systems, internal knowledge retrieval, and workflow agents leveraging Claude and GPT-4 architectures.
RAG Infrastructure
Retrieval-augmented generation pipelines enabling secure data integration between foundational models and proprietary knowledge bases.
Autonomous Agents
Agentic systems designed to autonomously execute complex, multi-step operational tasks.
System Integration
Integration of large language models within existing CRM, ERP, or internal legacy platforms.
Model Fine-Tuning
Customised fine-tuning and strict evaluation frameworks ensuring reliable output generation at volume.
Multimodal Processing
Implementation of vision and document intelligence technologies for unstructured data extraction.
Tech Stack
Contract Intelligence System Demonstrates 4X Velocity Increase
Clarivom engineered a RAG-powered document analysis system for a United Kingdom legal services firm, capable of identifying risk clauses with high accuracy. Delivered in six weeks.
AI implementation terms are structured around project complexity and model requirements.
Covering individual system integrations to fully autonomous platforms.
Common questions
Which foundational models does Clarivom implement?
Our engineering team implements Claude (Anthropic), GPT-4 (OpenAI), and leading open-source models based on technical requirements and budget constraints.
Is integration with proprietary corporate data secure?
Yes. Data routing is contained via stringent RAG architectures with strict data-retention policies explicitly denying training utility to public models.
What measures prevent model hallucination?
We utilize rigorous prompting constraints, output verification loops, and human-in-the-loop escalation paths to ensure operational reliability.
Does an engagement require extensive training data?
No. The majority of deployments commence utilising existing corporate documentation and standard operating procedures.