AI & Technology Solutions

We design, build, and ship AI systems. Our consulting is grounded in real production delivery.

From strategy and architecture to deployment and optimization, we deliver measurable business outcomes using cutting-edge AI and cloud technology.

Founder-led by John Balikci.

What We Build

Full-stack capabilities across AI, cloud, and product development.

Generative AI & Agentic Systems

•Custom AI agents with tool use & memory
•Multi-model orchestration (8+ models)
•Voice AI and conversational systems

RAG & Document Intelligence

•RAG pipelines with multi-format processing
•OCR via Amazon Textract
•Vector search with FAISS

Cloud Architecture & Serverless

•AWS-native (Lambda, API GW, CDK)
•Infrastructure as Code, auto-scaling
•Cost-optimized serverless architecture

SaaS Product Development

•End-to-end SaaS with Stripe integration
•Multi-tenant architecture with RBAC
•Analytics and monitoring built-in

Why Choose Foundry Ventures

Ship-Ready Code

We deliver production-grade code, not prototypes. Every deployment is built to scale from day one.

AI-First Architecture

We design systems with AI as the core, not an afterthought. Full end-to-end integration, not bolt-on solutions.

Business Outcomes

We focus on measurable ROI: cost reduction, revenue uplift, time savings, or competitive advantage.

Hands-On Leadership

Direct engagement with founder and CEO John Balikci. No account managers or middle layers. You work directly with the builders.

Fast Iteration

Weekly sprints with tangible deliverables. You see progress every week, not every quarter.

Our Process

Discovery & Assessment

We understand your business, technical environment, and constraints. We identify the highest-ROI AI/tech opportunities.

Architecture & Design

We design scalable, production-ready systems. Every decision is grounded in operational reality, not theory.

Rapid Prototyping

We build working prototypes quickly to validate assumptions early and reduce execution risk.

Production Deployment

Full end-to-end deployment with monitoring, logging, and operational handoff to your team.

Optimization & Scale

Post-launch performance tuning, cost optimization, and architectural hardening based on real-world usage.

Case Studies & Deployments

Real-world engagements across enterprise AI, document intelligence, healthcare automation, and infrastructure optimization. Production deployments at scale.

Enterprise Document Intelligence

InsightPro AI

Built an enterprise document intelligence platform that processes PDFs, Word docs, spreadsheets, and scanned images — enabling AI-powered Q&A across multi-language document repositories.

Technical Implementation:

✓Multi-stage extraction pipeline with OCR fallback (Amazon Textract)
✓DynamoDB caching for sub-second retrieval
✓Support for Claude, Nova, and Titan models with cost optimization
✓FAISS vector search for semantic document matching
✓Multi-language support with automatic language detection

Business Outcome: Reduced document processing time by 85% vs. manual workflows

AI Assistant Infrastructure

Multi-Model Agentic ChatBot

Designed and deployed a serverless AI assistant supporting 8+ foundation models with runtime model selection, persona switching, and sub-3-second response times.

Technical Implementation:

✓Serverless deployment on AWS Lambda (zero infrastructure overhead)
✓Runtime model routing based on task complexity and cost
✓8+ model support: Claude, GPT-4, Nova, Llama, Mistral
✓Stateful conversation memory with Redis
✓Persona-based role switching within single session
✓A/B testing framework for model performance comparison

Business Outcome: Achieved sub-3s P95 latency at scale; 60% cost reduction vs. dedicated inference

Healthcare Automation

Healthcare Voice AI (MDFit)

Deployed HIPAA-aware AI receptionist handling appointment scheduling, rescheduling, and cancellations via natural voice conversation.

Technical Implementation:

✓Amazon Nova-Sonic voice model with real-time processing
✓HIPAA-compliant architecture with PHI encryption at rest and in transit
✓5 specialized AI agents with automatic escalation logic
✓Multi-turn conversation memory for complex patient interactions
✓Real-time provider availability integration
✓Call analytics and performance dashboards

Business Outcome: Deployed to production healthcare systems; handling 500+ calls/month

Engagement Models

Choose the model that fits your needs — from fixed-scope projects to ongoing partnerships to strategic advisory.

Project-Based

Fixed scope, timeline, and deliverables. Ideal for well-defined builds with clear success criteria.

Typical Projects:

• Build a RAG pipeline
• Deploy a voice AI
• Architect a SaaS platform

Timeline

4-16 weeks

Retainer Partnership

Ongoing monthly support, maintenance, and iterative development. For scaling teams or evolving products.

Typical Projects:

• Continuous product development
• On-demand architecture reviews
• AI system optimization

Timeline

Ongoing (monthly)

Advisory & Strategy

Expert consultation without long-term commitment. Strategic guidance, architecture reviews, vendor evaluation.

Typical Projects:

• AI readiness assessment
• Technology vendor selection
• AI integration roadmap

Timeline

Ad-hoc (hourly or project)

Technology & Platforms

AWSGoogle CloudAzureDatabricksSnowflakeVercelCloudflareDockerKubernetesTerraformNode.jsPostgreSQLRedisStripeTwilioOpenAIAnthropicMeta Llama

Ready to build something great?

Let's discuss your project, technical challenges, or AI opportunities. We'll show you what's possible.

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Why Choose Foundry Ventures

Ship-Ready Code

We deliver production-grade code, not prototypes. Every deployment is built to scale from day one.

AI-First Architecture

We design systems with AI as the core, not an afterthought. Full end-to-end integration, not bolt-on solutions.

Business Outcomes

We focus on measurable ROI: cost reduction, revenue uplift, time savings, or competitive advantage.

Hands-On Leadership

Direct engagement with founder and CEO John Balikci. No account managers or middle layers. You work directly with the builders.

Fast Iteration

Weekly sprints with tangible deliverables. You see progress every week, not every quarter.

Our Process

Discovery & Assessment

We understand your business, technical environment, and constraints. We identify the highest-ROI AI/tech opportunities.

Architecture & Design

We design scalable, production-ready systems. Every decision is grounded in operational reality, not theory.

Rapid Prototyping

We build working prototypes quickly to validate assumptions early and reduce execution risk.

Production Deployment

Full end-to-end deployment with monitoring, logging, and operational handoff to your team.

Optimization & Scale

Post-launch performance tuning, cost optimization, and architectural hardening based on real-world usage.

Case Studies & Deployments

Real-world engagements across enterprise AI, document intelligence, healthcare automation, and infrastructure optimization. Production deployments at scale.

Enterprise Document Intelligence

InsightPro AI

Built an enterprise document intelligence platform that processes PDFs, Word docs, spreadsheets, and scanned images — enabling AI-powered Q&A across multi-language document repositories.

Technical Implementation:

✓Multi-stage extraction pipeline with OCR fallback (Amazon Textract)
✓DynamoDB caching for sub-second retrieval
✓Support for Claude, Nova, and Titan models with cost optimization
✓FAISS vector search for semantic document matching
✓Multi-language support with automatic language detection

Business Outcome: Reduced document processing time by 85% vs. manual workflows

AI Assistant Infrastructure

Multi-Model Agentic ChatBot

Designed and deployed a serverless AI assistant supporting 8+ foundation models with runtime model selection, persona switching, and sub-3-second response times.

Technical Implementation:

✓Serverless deployment on AWS Lambda (zero infrastructure overhead)
✓Runtime model routing based on task complexity and cost
✓8+ model support: Claude, GPT-4, Nova, Llama, Mistral
✓Stateful conversation memory with Redis
✓Persona-based role switching within single session
✓A/B testing framework for model performance comparison

Business Outcome: Achieved sub-3s P95 latency at scale; 60% cost reduction vs. dedicated inference

Healthcare Automation

Healthcare Voice AI (MDFit)

Deployed HIPAA-aware AI receptionist handling appointment scheduling, rescheduling, and cancellations via natural voice conversation.

Technical Implementation:

✓Amazon Nova-Sonic voice model with real-time processing
✓HIPAA-compliant architecture with PHI encryption at rest and in transit
✓5 specialized AI agents with automatic escalation logic
✓Multi-turn conversation memory for complex patient interactions
✓Real-time provider availability integration
✓Call analytics and performance dashboards

Business Outcome: Deployed to production healthcare systems; handling 500+ calls/month

Engagement Models

Choose the model that fits your needs — from fixed-scope projects to ongoing partnerships to strategic advisory.

Project-Based

Fixed scope, timeline, and deliverables. Ideal for well-defined builds with clear success criteria.

Typical Projects:

• Build a RAG pipeline
• Deploy a voice AI
• Architect a SaaS platform

Timeline

4-16 weeks

Retainer Partnership

Ongoing monthly support, maintenance, and iterative development. For scaling teams or evolving products.

Typical Projects:

• Continuous product development
• On-demand architecture reviews
• AI system optimization

Timeline

Ongoing (monthly)

Advisory & Strategy

Expert consultation without long-term commitment. Strategic guidance, architecture reviews, vendor evaluation.

Typical Projects:

• AI readiness assessment
• Technology vendor selection
• AI integration roadmap

Timeline

Ad-hoc (hourly or project)