Off-the-shelf AI fails spectacularly in the enterprise. It hallucinates, it lacks context of internal, deeply secure company knowledge, and IT departments cannot allow proprietary data to leak into public training sets. AI adoption stalls at the proof-of-concept phase.
We take AI out of the sandbox and deploy it aggressively into your core operations. We architect secure, private RAG mechanisms, deploy internal Vector Databases, and align finely-tuned LLMs precisely to your company's highly regulated data corpus without sacrificing data sovereignty.
Deploying enterprise-grade LLMs within your own secure VPC so corporate secrets never communicate back to public clouds.
Connecting LLMs strictly to your internal wikis, codebases, and PDFs via Vector DBs to guarantee zero hallucinations.
Designing bespoke agentic workflows that allow AI to autonomously execute actions inside your Salesforce, Jira, or ERP.
Amelia AI is a next-generation enterprise conversational AI platform designed to manage complex business operations with real-time adaptability, compliance sensitivity, and intelligent decision-making. NeoEvolution AI led its development, advancing Amelia’s capabilities to serve high-stakes industries like finance, healthcare, and insurance.
• Advance deterministic rule-based models to dynamic, multi-agent conversational intelligence
• Build scalable and adaptable architectures for real-world enterprise use cases
• Reduce friction for service and operations leaders by enabling secure, compliant AI automation
• Improve NLP and ML-driven understanding of user intent across complex workflows
NeoEvolution AI played a pivotal role in the Toronto innovation hub leading a high-performing team and delivering innovative, scalable solutions tailored for enterprises.
• Built and led an AGILE cross-functional team of software, NLP, QA, and linguistic engineers
• Architected scalable, modular solutions in collaboration with distributed international teams
• Delivered modular AI automation for complexity domains like mortgage, healthcare, and insurance
• Developed and maintained core AI micro-service based models including classification, parsing, spell correction, normalization, and feature extraction

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