Legal Agent
Review contracts, extract important clauses, answer internal legal questions and help legal teams analyze complex documents.
AI solutions.
From intelligent agents to secure AI infrastructure.
AI Agent services & LLM engineering
Our LLM engineering practice designs and develops AI agents and large language model applications for complex organizational environments. We combine appropriate architectures, prompt engineering and fine-tuning to build context-aware systems that interact naturally and act within clearly defined permissions.
We develop custom chatbots that go beyond answering questions. Connected to business tools and organizational knowledge, these agents can automate workflows, retrieve relevant information and provide more personalized support. Cloud-native architecture brings performance, security and scalability into the design from the start.
Specialist AI Agent solutions
Agents designed around the work each team needs to do.
HR Agent
Answer employee questions, manage leave requests, support recruitment and guide staff through internal policies.
Sales Agent
Follow up leads, recommend products, personalize sales content and assist teams throughout negotiation.
Agentic Organization
Connect departments through coordinated multi-agent workflows, with organizational rules governing decisions and execution.
AI Ops
Monitor infrastructure, detect operational issues, recommend remediation and support performance optimization.
Customer Support Agent
Provide multilingual assistance, resolve routine questions, analyze sentiment and escalate to human specialists.
Knowledge Management Agent
Extract, organize and retrieve organizational knowledge from documents, databases and conversations.
Finance Agent
Assist financial report analysis, answer budget and expenditure questions and support internal audits.
R&D Agent
Collect and summarize scientific literature, support idea generation and analyze technical research data.
MLOps, AI Gateway & AI security
We build the infrastructure for deploying, managing and scaling AI models. Our work covers the model lifecycle from training and evaluation to deployment and monitoring. Enterprise AI Gateways provide centralized request management, access control and routing between models, using cloud-native design where appropriate.
Model and data security are part of the infrastructure. We implement protective controls against attacks, unauthorized access and information leakage, helping organizations operate LLM applications with clear governance and observability.
What we deliver
End-to-end MLOps
Automated pipelines for model training, evaluation, versioning and deployment.
Enterprise AI Gateway
Centralized requests, load balancing, rate limits and routing across different models.
Model & data security
Layered controls for prompt injection, information leakage and unauthorized access.
Model monitoring & observability
Performance monitoring, drift detection and actionable alerts.
Hybrid & multi-cloud deployment
Resilient, scalable architecture for model deployment across different environments.
Inference cost optimization
Caching, quantization and request routing selected for the workload and quality requirements.
Access control & audit trails
Fine-grained authorization and traceable logs for enterprise model use.
What we work toward
An agreed architecture, a validated implementation, documented integrations and an operational handover. Scope, acceptance criteria and security requirements are defined together at the start.
YOUR CONTEXT. OUR NEXT CONVERSATION.
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