Your experts can't be everywhere.
Their judgment can.
It only knows what you have taught it. When it does not know, it asks your expert instead of guessing. Live in under 24 hours.
Never guesses
It escalates to your expert instead
Your PII
Never used to train a public LLM
Under 24 hrs
From first interview to live Protégé
34
USPTO patent claims on file
Senior experts retire, resign, get recruited away, get promoted, or are simply out. The knowledge they carry took decades to build. When they leave, it goes with them. Documentation doesn't capture it. Training programs take months.
When a deal stalls, a new hire gets stuck, or a client needs an answer after hours, no one's available.
This is not a content problem. It is a knowledge transfer problem.
The gap between a manual and a consultant is where organizations lose deals, slow down onboarding, and fail to scale. Apex Replicant closes that gap.
A Digital Protégé for every expert on your team.
Apex Replicant builds a Digital Protégé: voice AI that thinks and responds the way your SME does. Not a chatbot, not a search engine, not an AI agent. An always-on version of your expert’s judgment, trained on their knowledge base and tuned to how they actually talk and think.
Someone asks a question, uploads a document, or talks through a problem. The Protégé engages the way the expert would, asking follow-ups, pulling from the knowledge base, and giving specific, actionable answers.
When the Protégé reaches the edge of what it knows, it escalates to the human expert rather than guessing. It only knows what you have taught it. It is not a setting you configure. It is how the system is built.
Every session produces a structured summary: insights, action items, red flags, and performance notes. The expert stays in the loop. Their calendar stays clear.
"There’s never enough of me to go around, so I’ve trained some AI Protégés." Robin Walters, Co-Founder and CEO, Rogue Recruitment. Posted unprompted on LinkedIn after deploying her Protégé.
- Step 1
Extraction Interview
A structured one-hour AI-driven interview captures your expert's reasoning, voice, and judgment, not just their documents. From this interview alone the Protégé can answer about half of what your expert would.
- Step 2
Knowledge Base
Upload existing materials: books, guides, case files, presentations, recordings. After ingesting your existing library it handles roughly three questions in four.
- Step 3
Deploy
The Protégé goes live for your team or clients. Natural voice conversations, 24/7. No prompt engineering, no special training required for users.
- Step 4
Improve
Every session builds depth. As sessions compound, it comes to handle about nine questions in ten. Summaries keep your expert informed without taking up their time.
Our real competition isn't ChatGPT. It's the junior hire who finally gets up to speed and then leaves.
- SOPs and Wikis (Confluence, SharePoint)Captures what, not why. Nobody reads them when they actually need help.
- Creator Tools (Delphi, Coachvox)Built for personal branding. No enterprise depth.
- Video Avatars (HeyGen, D-ID)Presence without knowledge. Cannot answer questions or engage in dialogue.
- Generic LLMs (ChatGPT, Claude)Broad but not your expert. Will confidently fabricate answers outside its training.
- AI Agents (Copilot, OpenClaw)Automates tasks. Does not capture, transfer, or scale expert judgment.
Why "just use a Custom GPT" creates enterprise risk.
PII Commingling
Shared model fine-tuning can surface one user's data in another's answers.
IP Leakage
Anything uploaded to train a shared model can strengthen a competitor's results.
Reverse Engineering
Users can probe shared models with enough prompting to reconstruct your proprietary methodology.
No Accountability
When it gives a wrong answer, there is no escalation path, no audit trail, and no human backup.
"Other AI systems are optimized to answer. Ours is optimized to understand first and answer only from a position of verified context and validated expertise."
Proprietary Knowledge Extraction
We don't scrape documents. A structured AI-driven interview pulls out the reasoning behind expert decisions, the knowledge that never gets written down. The methodology draws on 30 years of instructional design research.
It only knows what you have taught it
The Protégé answers only from the expert's validated knowledge base, asks clarifying questions before responding, and escalates to the human when it reaches its boundary. In enterprise settings, a wrong answer can be a liability. This is how we prevent that.
Enterprise Data Sovereignty
Your knowledge base is never co-mingled with other customers' data or used to train public models. It stays isolated to your organization, during the contract and after it ends.
Built for enterprise procurement from the start.
Data Layer: Isolated Knowledge Bases
Each expert's knowledge base is fully isolated. No cross-contamination between experts, clients, or organizations. Your data never touches another customer's environment.
Session Layer: Isolated Client Sessions
Each conversation is fully isolated. Session data is not used to train public models or shared outside your organization. Full transcripts and summaries are retained in your environment.
AI Layer: Filtered LLM Access
Your personal information is never used to train a public LLM. LLM access is bounded by the expert's validated knowledge base. The model cannot answer outside that domain. It escalates instead.
Patent Claims: Proprietary Architecture
34 USPTO patent claims on file across 9 core innovations including AI-guided knowledge extraction, escalation architecture, and multi-layer security.
Compliance: Working Toward SOC 2 Type II
The architecture was built with regulated industries in mind, including legal and financial services, where a wrong answer from an AI carries real liability. SOC 2 Type II readiness is in progress.
Drew Harris
CEO and Co-Founder, CPTO
Dr. Alan Kadish
Co-Founder and Chief Strategy Officer
Answers to what your team will ask.
- Does our data get used to train your AI models?
- No. Knowledge bases are isolated by architecture and by contract. Your data is never used to train anything outside your own environment.
- What happens when the AI doesn't know something?
- It escalates to the human expert with the full conversation context attached. It does not guess, fabricate, or fill in gaps. That is the architecture.
- What happens to our data if we end the contract?
- Your knowledge base stays isolated to your organization. When the contract ends, we delete it on request. There is no lock-in and no negotiation required.
- How quickly can we go live?
- A one-hour structured interview gets your first Protégé answering about half of what your expert would, the same day. Most teams are fully live within 24 hours of that first session.
- Is this suitable for regulated industries?
- The architecture was designed for regulated environments including legal and financial services, where a wrong AI answer carries liability. SOC 2 Type II readiness is in progress. Reach out for specifics.
See it before you decide anything.
The live Protégé is available right now, 24/7, no scheduling required. Real questions, real answers, real escalation, and it never guesses. See exactly how it works before any conversation with us. The first step is The 30-Day Continuity Proof: $1,247, one expert hour, a measured result in 30 days, no contract. If you want to talk through fit first, start the conversation below: it reaches the founding team directly.
