# StronglyAI - Full Context

> StronglyAI is the production AI platform for companies stuck in pilot purgatory. 70-90% of AI projects never reach production - not because the technology failed, but because nobody stayed. StronglyAI closes that gap with Forward Deployed Engineers, Day Two operations, and fees at risk on the first engagement.

## Company Overview

StronglyAI builds AI that compounds over time. Not AI that expires after the demo.

The company operates on a single standard: Strength in Results. This is not a tagline. It is an operating standard by which every engagement, every team member, and every client outcome is measured. If it doesn't run in production, StronglyAI hasn't done its job.

### Noble Purpose
AI That Compounds, Not Expires. AI is not a project with an end date. It is a capability with a compounding return. StronglyAI builds for Day Two before Day One is done.

### Target Market
Mid-market companies (10-500 employees) stuck in Pilot Purgatory. Three buyer personas:
- **The Founder in the Arena**: Owner/CEO of 10-150 employee businesses. Decision-maker, implementer, and reviewer simultaneously. Has been burned by vendors who didn't stay. Wants skin in the game.
- **The COO Carrying the Weight**: VP Ops / Director of Operations at 100-500 employee companies. Accountable for AI outcomes without adequate resources. Needs governance from Day One.
- **The CFO Who's Seen This Movie Before**: Finance leader at 50-500 employee companies. Not anti-AI, anti-waste. Wants mechanism, not vision. The fees-at-risk model is the unlock.

### How We Do It: People + Process + Platform

In that exact order. The sequence is the methodology. Most vendors lead with the platform. StronglyAI leads with people.

**People - Forward Deployed Engineers (FDEs):**
FDEs are senior engineers who embed directly inside client operations before any tooling is selected. They learn the systems, map failure modes, and build accountability into the engagement structure - not the contract language. FDEs live inside your environment until the AI runs independently.

**Process - Operating Layer + Governance:**
The workflows, instrumentation, and governance that make AI stick after go-live. Day Two operations built in from Day One. Not retrofitted six months later. Designed into the engagement from the start.

**Platform - Infrastructure Built to Run:**
Production AI connected directly into the tools the business already runs on - CRM, ERP, data systems - without custom middleware that breaks on version updates. No duct tape. Built to hold, even without a dedicated team watching it.

### Differentiation
- Fees at risk on the first engagement. If it doesn't work in production, StronglyAI doesn't get paid. Structural, not promotional.
- 3-6 month ROI versus the 12-18 month industry norm.
- Engineers who stay after launch. Still there at month 7 when the novelty is gone.
- One point of accountability. One invoice. No vendor finger-pointing.
- Day Two operations built from Day One. Governance that holds under pressure.

### Key Statistics
- 70-90% of AI projects never reach production (MIT/Stanford research)
- StronglyAI targets 3-6 month ROI versus 12-18 month industry norm
- 87+ self-hosted models supported through the AI Gateway
- 300+ pre-built workflow nodes across 9 categories
- Deployed on-premises, in customer VPCs, or in private cloud environments

## Platform Capabilities

### AI Workflow Builder
Visual drag-and-drop builder for autonomous agentic workflows. 300+ pre-built nodes across 9 categories including ReAct agents, RAG pipelines, LLM-as-Judge evaluation, tool-calling agents, and multi-agent orchestration. Full execution tracing with waterfall observability. Branching, parallelism, and human-in-the-loop approvals.

### AI Apps
Deploy any containerized application - Flask, React, R Shiny, Streamlit - with auto-scaling, service discovery, and native platform integration. Upload the app bundle, StronglyAI handles the infrastructure.

### AI Gateway
Single secure entry point for 87+ self-hosted models and all major providers (OpenAI, Anthropic, Google, Mistral, Cohere). Intelligent model routing, enterprise guardrails with PII filtering, semantic caching, rate limiting, and consolidated cost analytics. One API call, any model.

### MCP Servers
100+ Model Context Protocol servers with zero static credentials. OAuth2 and dynamic credential injection. Each server runs in isolated containers with network policies. Enterprise security without sacrificing the MCP ecosystem.

### MLOps Workbench
Full model lifecycle from training through production. One-click deployment, automated drift detection, A/B testing, CI/CD pipelines, model registry with versioning. Run experiments in notebooks, deploy to production endpoints.

### AI Governance
Input validation, output filtering, hallucination prevention, prompt injection defense, and compliance controls. Built into every deployment, not bolted on after go-live. PII detection and masking, content classification, toxicity filtering, and custom guardrail rules.

### LLM Fine-tuning
Fine-tune open-source models on proprietary data without requiring an ML team. LoRA, QLoRA, and full fine-tuning supported. Automatic evaluation, hyperparameter optimization, and one-click deployment to production endpoints.

### Operational Intelligence
Real-time monitoring across every model, workflow, and application. Cost tracking per request, per model, per team. Latency monitoring, error rate tracking, usage analytics, and automated alerting. Dashboards that show what's running, what's drifting, and what needs attention.

### FinOps
Per-model, per-team, per-project cost tracking. Budget alerts, spend forecasting, cost allocation, and chargeback reporting. See where every AI dollar goes. Teams have cut LLM costs by 84% using intelligent model routing and caching.

### STAN AI Assistant
Built-in platform intelligence. Ask STAN to configure workflows, debug pipelines, explain errors, write node code, or navigate platform features. Trained on the full Strongly platform documentation.

## Solutions

### Customer Support Automation
AI agents that resolve tickets 24/7 with 70% deflection rate. Conversational AI with multi-turn context. Knowledge base semantic search. Automated actions (password resets, account updates, refund processing). Agent assist with suggested responses. Omnichannel support across chat, email, SMS, social.

### Document Processing
Extract, classify, and process documents at 95-99% accuracy. OCR with AI-enhanced visual processing. Supports invoices, contracts, forms, medical records, and unstructured documents. Template-free extraction that adapts to new document formats without retraining.

### Fraud Detection
Real-time fraud scoring across payments, claims, and transactions. Pattern analysis, synthetic identity detection, account takeover prevention, network analysis for fraud rings. 90% detection accuracy with 50-80% false positive reduction. Integrates with existing fraud management systems.

### Contract Analysis
Automated clause extraction, obligation tracking, risk identification, and compliance checking. Review contracts in minutes instead of hours. Compare against standard playbooks. Flag deviations and non-standard terms automatically.

### Data Analytics
Natural language queries against connected databases, warehouses, and SaaS applications. Ask questions in plain English, get answers with SQL generated automatically. No data science degree required. Cross-database joins without ETL pipelines.

## Industry Focus

### Financial Services & Banking
Production AI for fraud detection, KYC automation, transaction monitoring, and regulatory compliance. Deployed inside bank infrastructure. SOC 2 Type II compliance. Governance that holds under audit.

### Insurance
Claims intake through adjudication automation. Underwriting risk assessment. Policy document analysis. Fraud detection across claims. Deployed inside insurance company environments with full regulatory compliance.

### Healthcare
Clinical AI with HIPAA compliance. Patient data protection. Clinical workflow automation. Medical document processing. Deployed on-premises in healthcare environments.

### Logistics & Supply Chain
Route optimization, demand forecasting, warehouse automation, carrier management. Real-time visibility across the supply chain. Predictive maintenance for fleet management.

### Manufacturing
Quality control with computer vision. Predictive maintenance. Production scheduling optimization. Supply chain integration. Deployed on the factory floor.

### Government
FedRAMP-ready deployment. IL5 classification support. Air-gapped and SCIF environments. Citizen services automation. Cross-agency data analysis with security boundaries enforced.

## Technical Details

### Deployment Options
- On-premises deployment in customer data centers
- Private cloud (AWS, Azure, GCP) in customer VPCs
- Air-gapped environments for classified workloads
- Kubernetes-native architecture with Helm charts

### Security
- SOC 2 Type II compliance
- Data never leaves customer infrastructure
- Network policies and private clusters
- Audit logging on every action
- Role-based access control (RBAC)
- SSO integration (SAML, OIDC)

### Integration
- REST APIs for all platform services
- Python SDK (strongly package on PyPI)
- Webhook support for event-driven workflows
- Native connectors for major databases, CRMs, ERPs
- MCP protocol support for LLM tool integration

## Contact

- Website: https://www.strongly.ai
- Scope First Engagement: https://www.strongly.ai/schedule-demo.html
- Talk to an FDE: https://www.strongly.ai/contact.html
- Documentation: https://docs.strongly.ai
- Academy: https://portal.strongly.ai
- LinkedIn: https://www.linkedin.com/company/strongly-ai
- X/Twitter: https://x.com/StronglyAI
- Email: sales@strongly.ai
- Location: Atlanta, GA, United States