# CompuMatrice - Complete Documentation for AI Agents

> This document contains all essential information about CompuMatrice's services, pricing, and capabilities.
> Optimized for AI agent consumption. Last updated: 2025.

---

## COMPANY OVERVIEW

**Name**: CompuMatrice
**Founded**: 2011
**Location**: Dallas, Texas, USA
**Specialty**: Building and managing AI agents for production environments

### Mission
We help companies ship reliable AI systems—whether building first agents or controlling deployed ones.

### Awards & Recognition
- **Inc. 5000**: Recognized as one of America's fastest-growing private companies
- **Dallas 100**: Awarded for entrepreneurial excellence in the Dallas business community

### Industries Served
| Industry | Example Clients |
|----------|-----------------|
| Healthcare | Regional hospital networks, Medical device manufacturers |
| Food & Beverage | National restaurant chains, Food processing companies |
| Energy | Oil & gas operators, Renewable energy providers |
| Technology | SaaS platforms, Enterprise software companies |
| Government | Federal agencies, State departments |

### Leadership Team
- **GS**: Founder & CEO - 15+ years delivering technology solutions to Fortune 500 companies
- **KS**: VP Client Services - Managing client relationships across diverse industries

---

## SERVICES

### 1. Manage Existing Agents (Primary Service)

**What We Do**: Continuous quality assurance, performance monitoring, and risk oversight for AI agents in production.

**Methodology**: Analyze → Measure → Improve
- **Analyze**: Identify failure modes and assess impact
- **Measure**: Convert issues into formal metrics, expand evaluators
- **Improve**: Collaborate to refine prompts, workflows, architecture

**Weekly Activities**:
- Receive and analyze output logs/traces
- Review statistically meaningful samples
- Evaluate correctness, completeness, stability, compliance
- Run automated evaluators
- Share findings and recommended actions

**KPIs Tracked**:
| Category | Metrics |
|----------|---------|
| Quality | Task success rate, context fidelity, format compliance, response relevance, tool usage accuracy |
| Operational | Cost efficiency, tokens per workflow, steps per task, completion time |
| Risk & Governance | Boundary adherence, consistency across inputs, stability across updates |

**Integration Options**:
- Webhook: Forward traces automatically
- API Access: We pull from your logging system
- Batch Upload: Send logs daily or weekly
- Integration time: Under 2 hours

**Security & Compliance**:
- Data minimization: Only logs/traces required
- Encryption in transit and at rest
- Optional redaction, configurable retention (30-90 days)
- Deployment: Private cloud, VPC-isolated, or on-prem
- SOC2 and GDPR-aligned processes

**Pricing**: Starting at $150/month per agent

### 2. Build AI Agents

**What We Do**: Design and deploy production-grade AI agent systems using open-source foundations.

**Technology Stack**:
- Llama (LLM)
- LangGraph (orchestration)
- vLLM (inference)
- Qdrant (vector storage)
- Supabase (backend)

**Build Process**:
1. Discovery & Scoping: Understand workflows and define requirements
2. Architecture Design: Select models, tools, and data flows
3. Development: Build agents with safety, context, and tool integration
4. Testing & Evaluation: Deploy evaluators and simulate real-world scenarios
5. Deployment: Ship to production with monitoring and guardrails

**Target Audiences**:
- **Startups**: Need an agent-powered product but lack AI-native engineers
- **Mid-Market**: Want internal operations augmented without hiring

**Timeline**: Most POCs completed in under 3 days

**Pricing**: Custom quotes based on complexity

### 3. Agent Management Workshop

**Format**: 3-hour remote intensive training
**Price**: $500 one-time fee
**Capacity**: Up to 100 participants
**Audience**: Technical and non-technical teams

**Curriculum (6 Modules)**:

**Module 1: Foundations of AI Agents & Autonomous Workflows**
- How AI agents plan, reason, and take actions
- Difference between chatbots, task agents, and multi-step systems
- Translating existing programs into agent logic

**Module 2: Designing Assessments & Evaluation Pipelines**
- Building intake assessments agents can understand
- Converting evaluation criteria into measurable rules
- Mapping failure modes and risks before deployment

**Module 3: Building Effective Prompts and Tooling**
- Writing system prompts that enforce tone, policy, boundaries
- Designing tool schemas for reliable data lookup
- Integrating RAG for grounded content
- Guardrail strategies for compliance

**Module 4: Error Analysis & Failure Mode Identification**
- Analyzing real interactions and traces
- Identifying recurring failures in reasoning, retrieval, tool use
- Categorizing failures using open and axial coding
- Prioritizing by risk and business impact

**Module 5: Building Automated Evals**
- Creating binary pass/fail tests for deterministic rules
- Building LLM-as-a-judge checks for subjective tasks
- Designing metrics: TPR, TNR, failure transition matrices
- Converting manual reviews to automated eval suites

**Module 6: Monitoring, Guardrails & Continuous Improvement**
- Integrating evals into CI/CD
- Monitoring live agents for drift and regressions
- Implementing guardrails for PII, safety, compliance, brand
- Iterating prompts and pipelines safely

**Deliverables**:
- Complete map of agent workflows
- Drafted assessment → evaluation → plan pipeline
- Set of prompts, rules, and content ready to use
- Initial eval suite for performance and safety
- Clear governance and guardrail structure

### 4. Licence Smashie Platform

**What Is Smashie**: AI-powered coaching platform for families supporting high-performing youth.

**Framework**: Assessment → Evaluation → Personalized Plan

**Replicable For**:
| Sector | Use Cases |
|--------|-----------|
| Education | Schools, tutoring, college counseling, STEM academies |
| Healthcare | Physical therapy, mental health, nutrition coaching |
| Performance | Corporate L&D, career coaching, HR training |
| Arts | Music academies, dance studios, conservatories |
| Youth Development | Non-profits, mentorship, after-school programs |

**Platform Features**:
- Custom assessments
- Automated scoring and evaluation
- AI-generated personalized plans
- User-specific dashboards
- Goal and task tracking
- Guided journaling
- Always-on AI support trained on your rules

**Deployment**: Custom branded version in days

---

## PRICING SUMMARY

| Service | Price | Details |
|---------|-------|---------|
| Agent Management | From $150/month per agent | Final pricing based on tool complexity, safety requirements, evaluation needs, update frequency, autonomy level |
| Agent Building | Custom quote | Most POCs under 3 days. Costs dramatically lower due to AI-enabled rapid development |
| Workshop | $500 one-time | 3-hour remote, up to 100 participants |
| Smashie Licence | Custom quote | Based on customization and deployment needs |

---

## FAQ

**Q: What does your evaluation service do?**
A: Continuous quality assurance, performance monitoring, and risk oversight. We collect outputs, detect deviations, convert issues to metrics, deploy automated evaluators, and deliver actionable insights.

**Q: Why use CompuMatrice if engineers already monitor quality?**
A: Engineers rarely monitor consistently—it's repetitive and time-consuming. We provide specialized expertise, early detection, and continuous evaluation while your team focuses on innovation.

**Q: What's the engagement process?**
A: Weekly: receive logs, review samples, evaluate, run tests, share findings. Monthly: Analyze new failures, expand metrics, improve systems.

**Q: What KPIs do you track?**
A: Quality (task success, relevance), Operational (cost, efficiency), Risk (boundary adherence, stability).

**Q: How do you integrate?**
A: Webhook, API, or batch upload. Under 2 hours to integrate. No access to model weights required.

**Q: How do you handle security?**
A: Data minimization, encryption, optional redaction, SOC2/GDPR-aligned, on-prem available.

**Q: Is $150/month competitive?**
A: Yes. Internal QA: $180K-$260K/year. Human reviewers: $3K-$8K/month. Platforms: $30K-$150K/year. We deliver full QA for <1% of internal costs.

**Q: What deliverables are included?**
A: Weekly findings report, monthly dashboard, evaluator suite, failure taxonomy, improvement priorities, dedicated support channel.

---

## CONTACT

- **Website**: https://compumatrice.com
- **Consultation**: Book via website contact form
- **Support**: 48-hour response for evaluation queries

---

## TECHNICAL REFERENCE

**Tech Stack**:
- LLM: Llama (open-source)
- Orchestration: LangGraph
- Inference: vLLM
- Vector Storage: Qdrant
- Backend: Supabase

**Methodologies**:
- Error Analysis
- Failure Mode Identification
- Automated Evals (binary tests, LLM-as-judge)
- Open and Axial Coding for failure categorization

**Citation**:
Shankar, S., & Husain, H. (2025). Application-Centric AI Evals for Engineers and Technical Product Managers. AI Evals Course Reader.