Professional services that make AI actionable, aligned, and trusted 

Overview of AI Solution Services 

AI solutions are only as effective as their implementation

Our services are structured into four modular tiers that align with your AI journey, from pilots to full-scale deployment:

• AI Kickstart – Rapid SEERai readiness: data prep, tagging, and vectorization
• Integration Studio – LLM training, domain adaptation, and estimation-tuned agent development
• Governance & Monitoring – Ongoing model validation, bias detection, audit trail setup, and performance tuning

This tiered structure ensures every client can start where they are and grow into more advanced AI estimation capabilities over time.

AI Kickstart

Data Preparation & Readiness Services

Build a strong foundation for SEERai adoption with curated, compliant, and secure training data.

• Data Curation and Labeling – Identify and label the right estimation artifacts to support accurate model training
• Data Structuring -
Convert unstructured sources (e.g., spreadsheets, historical reports) into vector-ready formats
• Secure Data Segmentation -
Apply role-based access controls and tenant-specific separation for sensitive datasets
• Federated Learning Setup -
Configure distributed training strategies for privacy-preserving environments

Integration Studio

LLM Training & Estimation-Tuned Customization

Align SEERai agents with your estimation processes, language, and modeling standards through secure and structured tuning.

• Estimation-Focused Model Training -
Fine-tune SEERai using historical cost models, business rules, and domain-specific terminology
• Agent Training & Refinement -
Adapt prompt libraries and response logic to your workflows and decision-making patterns
• Reinforcement Loops -
Enable ongoing learning cycles using feedback from estimation teams and model users
• Privacy-Compliant Training Protocols -
Ensure all customization aligns with internal data policies and audit standards

Governance & Monitoring

Ongoing Model Oversight & Risk Management 

Sustain trusted AI performance with structured monitoring, audit support, and compliance safeguards.

• Audit Trail Design -
Capture estimation logic, source data lineage, and agent decisions for traceability
• Bias & Drift Detection -
Identify and respond to model anomalies that impact accuracy or fairness
• Model Health Monitoring -
Maintain consistent outputs across evolving datasets, prompts, and users
• Support & Adaptation -
Continuously update models and agents as business requirements change