Sigma
Crafting Bespoke Intelligence for Your Enterprise
The platform that empowers enterprises to design, train, and deploy custom AI agents tailored to their exact needs, transforming niche workflows into competitive advantages.
The Problem: One-Size-Fits-None AI
Generic AI tools often fail to address industry-specific challenges. Businesses with unique processes, regulations, or customer demands require solutions as specialized as their operations.
Key Challenges:
- A pharmaceutical company needs an agent that cross-references clinical trial data with FDA regulations.
- A logistics firm requires a multilingual AI to negotiate freight rates with global suppliers.
- A luxury hotel chain wants a concierge agent trained on decades of guest preference data.
- Building such agents from scratch demands costly developer resources and ML expertise.
How Sigma Works: The Anatomy of a Custom Agent
Agent Studio: Define Intelligence
- Role & Skills: Specify the agent's purpose (e.g., "Contract Analyst" or "Customer Sentiment Moderator").
- Knowledge Base: Upload proprietary data (PDFs, databases, call transcripts) or connect to live APIs (CRM, ERP).
- Guardrails: Set ethical, legal, and brand guidelines (e.g., "Never recommend non-FDA-approved treatments").
Example: A bank builds a Loan Risk Agent trained on 10 years of loan applications, repayment histories, and regional economic data. Guardrails ensure it never violates fair lending laws.
Knowledge Fusion Engine
Sigma's proprietary AI merges your data with industry-specific foundational models:
- Healthcare: HIPAA-compliant models pre-trained on medical journals and patient interactions.
- Legal: Agents understand legalese and can draft clauses using your firm's historical contracts.
- Retail: Integrate with Shopify, Square, or custom POS systems for real-time inventory insights.
Deployment Hub
Deploy agents anywhere, at any scale:
- Channels: Web chat, voice (IVR systems), email, Slack, or embedded in mobile apps.
- Human Handoff: Escalate complex issues to staff with full context (e.g., "Customer requested a mortgage rate exception").
- Analytics: Monitor performance metrics and receive suggestions for agent improvements.
Sigma Architecture
Sigma in Action: Industry Use Cases
Financial Services
Compliance Agent
Monitors trader communications in real-time, flagging insider trading risks or SEC violations.
Wealth Management Agent
Generates personalized portfolio rebalancing suggestions using market data and client risk profiles.
Healthcare
Prior Auth Agent
Automates insurance pre-approvals by extracting diagnoses from EHRs and matching them to payer policies.
Clinical Trial Agent
Recruits eligible patients by analyzing medical records against trial inclusion criteria.
Retail & Hospitality
Personal Shopper Agent
Recommends products based on purchase history, social media activity, and live sentiment analysis during video calls.
Revenue Management Agent
Adjusts hotel room pricing dynamically using weather data, event calendars, and competitor rates.
Manufacturing
Sustainability Agent
Optimizes energy usage across factories by analyzing IoT sensor data and carbon credit markets.
RFP Agent
Auto-generates technical proposals for equipment bids using CAD files and past project specs.
Case Study: Medical Claims Processing
A national health insurer reduced claims processing time by 78% after deploying a custom Sigma agent that:
- Was trained on 5 years of claims history and the company's proprietary medical necessity guidelines
- Automatically extracted CPT/ICD codes from physician notes with 99.2% accuracy
- Identified fraud patterns that saved $4.3M in the first quarter of deployment
Why Businesses Choose Sigma
No-Code Flexibility
Pre-Built Templates
Launch faster with industry-specific blueprints (e.g., "Insurance Claims Processor" or "IT Helpdesk Agent").
Visual Training Interface
Refine agent behavior using drag-and-drop logic flows (e.g., "If customer mentions 'cancel,' offer a discount first").
Enterprise-Grade Control
Data Sovereignty
Train and host agents on your cloud infrastructure.
Audit Trails
Track every decision your agent makes, with explainable AI reports for regulators.
Version Control
Test new agent iterations in sandbox environments before going live.
ROI Beyond Efficiency
Faster Innovation
A telecom company reduced time-to-market for a customer retention agent from 6 months to 3 weeks.
Scalable Expertise
A law firm deployed 20 contract review agents, handling 500+ documents/day with 99% accuracy.
"Before Sigma, customizing AI required an entire data science team and months of development. Now, our business analysts can craft specialized agents in days. We've deployed 12 agents across customer support, fraud detection, and claims processing—each perfectly tailored to our specific needs."
Sarah Chen
Chief Digital Officer, Global Insurance Corp
The Future of Sigma
Multi-Agent Teams
Deploy groups of agents that work together (e.g., a sales agent negotiates terms while a legal agent drafts contracts in parallel).
Self-Improving Agents
Reinforcement learning lets agents refine their strategies based on real-world outcomes (e.g., "Agent A/B tests discount offers to maximize conversions").
Agent Marketplace
Share or monetize pre-trained agents (e.g., a "Pharma Compliance Agent" sold to biotech partners).
2023-2024 Technology Roadmap
Q3 2023
Advanced Personalization Engine
Allow agents to continuously adapt to individual user preferences and interaction patterns.
Integration with AR/VR platforms for embodied agents that can operate in spatial computing environments.
Q4 2023
Spatial Computing Agents
Q1 2024
Embedded On-Device Agents
Optimized lightweight agents that run locally on edge devices with minimal cloud dependence.
Transform AI from a Generic Tool into a Proprietary Asset
Whether you're streamlining back-office operations or reimagining customer experiences, Sigma ensures your AI doesn't just work—it understands.