We are proud to be an official partner of Anthropic, the company behind Claude.
Responsible AI & Governance
Bias audits, explainability, model and data documentation (model cards, data sheets), and policy-ready governance frameworks.
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Deliverables
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Outcomes
SLA
Production Ready
Build trust with explainability, bias mitigation, and compliance-ready documentation.
Build trust with explainability, bias mitigation, and compliance-ready documentation. We deliver fairness audits, explainability reports, and governance playbooks aligned to your regulatory requirements.
What you get
Build trust with explainability, bias mitigation, and compliance-ready documentation.
Fairness audits
Explainability reports
Model cards
Data lineage and governance playbooks
Problems we help you overcome
Regulatory scrutiny on AI decisions
Auditors and regulators require documented evidence of fairness, explainability, and data provenance.
Undetected model bias
Models may produce discriminatory outcomes across protected groups without systematic testing.
No AI governance framework
Organizations lack policies, review boards, and documentation standards for AI systems.
What we bring to the table
Bias & fairness audits
Systematic testing across demographic groups with remediation recommendations.
Explainability reports
SHAP, LIME, and counterfactual analysis tailored to your model types and stakeholders.
Governance playbooks
Model cards, data sheets, review processes, and policy templates aligned to EU AI Act and sector regulations.
Industries We Serve
Healthcare & Life Sciences
Clinical NLP, coding automation, triage assistants (HIPAA-ready).
Financial Services
Fraud detection, automated underwriting, compliance monitoring.
Legal & Compliance
Contract review, e-discovery, regulatory tracking.
Retail & E-commerce
Personalization, search, conversational commerce.
Manufacturing & Industrial
Predictive maintenance, CV inspection, supply-chain optimization.
Telecom & Edge
Customer automation, low-latency on-device inference.
Cybersecurity
Threat detection, SOC automation.
Public Sector & Energy
Document automation, forecasting, citizen services.
Pricing & Engagements
Discovery & Assessment
Fixed-fee 1–2 week assessment with roadmap.
POC-to-Pilot
Fixed-scope 2–6 week POC, includes data prep, prototype model, and success criteria.
Production & Managed Services
Subscription for hosting, monitoring, retraining, and support (SLA options).
Professional Services
Time-and-materials or outcome-based pricing for custom work.
Measurable impact
Measurable business impact from this engagement.
Lower regulatory risk
Better stakeholder alignment
Defensible AI decisions
Frequently asked questions
Which regulations do your governance frameworks address?
We align to EU AI Act, HIPAA, GDPR, SR 11-7, and sector-specific AI guidance for finance and healthcare.
How long does a fairness audit take?
A standard audit for a single production model typically takes 2–3 weeks including reporting and remediation guidance.
Do you help establish an internal AI review board?
Yes. We design governance structures, approval workflows, and documentation standards for ongoing AI oversight.
Case Study
Problem
A regulated enterprise needed domain-accurate LLM responses without exposing sensitive data to public APIs.
Solution
LLM Customization & RAG, MLOps & ModelOps, Responsible AI & Governance
Outcome
40% reduction in human review time, 99.2% factual accuracy on domain tasks, and predictable inference costs within 90 days.
Ready to deploy with confidence?
Bias audits, explainability, model and data documentation (model cards, data sheets), and policy-ready governance frameworks.
More AI Services
Why Choose Us
- ✓ Industry focus + measurable outcomes: domain models with validated ROI metrics.
- ✓ POC-to-production playbook: repeatable 2–6 week POC that moves to production fast.
- ✓ SLA-backed production support: uptime, latency, and retraining SLAs.
- ✓ Compliance-first: HIPAA/GDPR/PCI-ready architectures and audited pipelines.