Half Heart Intelligence builds dependable AI systems that automate high-trust business workflows.
Reduce manual effort and risk with reliable, auditable automation for the work your business cannot afford to get wrong.
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Built a lightweight CNN to detect malaria from microscopic blood smear images. After testing baseline CNNs, transfer learning, HSV exploration, and augmented models, the final domain-specific model reached approximately 98%+ test accuracy.
Built a real-world photo verification platform for authentic image capture. Verisnap combines trusted camera capture, device-signal analysis, TruthScore-style verification, enterprise workflows, and structured reporting for teams that need reliable visual evidence.
Built an AI-powered pipeline that ingests scans, images, HTML, and PDFs, runs OCR and NLP extraction, maps clinical entities to ICD, CPT, and RxNorm codes, and creates a searchable index for downstream medical record review.
Built an end-to-end AI workflow that converts PDFs into domain-specific Q&A datasets, fine-tunes an open-source LLM with LoRA, merges the model, and exports it to GGUF for lightweight local inference.
Half Heart Intelligence is led by Franklin Perez, a veteran software engineer, founder, and technology leader with roughly 35 years of software development experience across startups, backend systems, high-performance platforms, and product delivery.
We donate 3% of our proceeds to Hope for Heart Kids.