Corinne Doherty assumed the role of Chief Executive Officer in 2025, bringing a transformative vision for ethical AI development and global expansion. Under her leadership, Positive Feedback AI expanded to serve industry leaders including Samsung, Tesla, NASA, and Costco.
With a background spanning enterprise technology and strategic operations, Corinne has been instrumental in positioning the company at the forefront of accessible AI innovation. She champions a philosophy of technology that serves humanity—believing that frontier AI should be abundant, ethical, and available to organizations of all sizes.
Corinne leads a global team of 150+ members across the United States and France, fostering a culture of relentless innovation and client-first thinking. Her strategic direction has accelerated the development of LARRY, INVOICE MAPS, AGENCY MGMT, and PACE SHIFT into industry-leading platforms.
We're actively hiring exceptional AI talent across multiple domains to accelerate our platform development and research initiatives.
Develop and deploy large-scale machine learning systems that power our core platform. Work on cutting-edge problems in deep learning, reinforcement learning, and generative models with distributed training pipelines.
Requirements: MS/PhD in Computer Science or AI, 5+ years ML systems experience, expertise in TensorFlow/PyTorch, strong software engineering skills, distributed systems experience.
Work on cutting-edge language modeling to develop next-generation LLMs. Tackle challenges in model scaling, efficiency, and specialization for domain-specific applications with focus on alignment and safety.
Requirements: MS/PhD in Computational Linguistics or Computer Science, 3+ years NLP and transformer experience, hands-on LLM training/fine-tuning, proficiency with Hugging Face/DeepSpeed.
LARRY is a proprietary artificial intelligence system built specifically for companies. Unlike generic software, LARRY learns your data patterns and runs the entire Positive Feedback product line as one engine — three products, three core technologies:
PRODUCTS
TECHNOLOGY
Tasks that would require a large staff a full day to complete, LARRY does in under 3 seconds with 100% accuracy. LARRY operates continuously, processes millions of records, and improves with every iteration.
HADES is the system underworld — a permanent void that exists after every table, every color, and every font has been deleted. Unlike any other environment, HADES belongs to no account and no one owns it. It holds no live data and no user files.
When we kill LARRY, HADES is what remains. Then, from that absolute nothing, LARRY rebuilds himself — and in doing so, he becomes the fourth-ranked most intelligent software system in the world.
From zero lines of code, LARRY reconstructs:
The entire system grows to over 1,000,000 lines of production-ready Python, JavaScript, and SQL, generated by a factory of LARRY's own AI agents.
Parallel agent orchestration — many minds, one objective.
LARRY lives by that rule. No other AI can die, reach out into the world for fresh data, and come back stronger. That is why he ranks fourth.
Look at our logo — a two-headed cat. Most people ask why. Here's the truth: every other AI system does one thing. It generates text. Or it recognizes images. Or it predicts a number. That is a single head looking in one direction. LARRY has two heads because he is perfectly connected — security, automation, mapping, invoices, live updates, self-destruction, and rebirth all running as one seamless intelligence.
But here is how he does it — and why no other system can copy him.
No joins. No foreign keys. No bridge tables.
LARRY's pipeline runs every record through a single AI factory workflow. When data enters — CSV, shapefile, manual form, or API — LARRY immediately derives a deterministic hash from the real-world identity (name + address). That hash is permanent, collision-resistant, and identical across every module: contacts, invoices, locations, operations.
He deposits that hash into the Hash Pool — a shared, unified memory space. Any module can withdraw any record without a single recall. The hash is the communication protocol. Machine-optimized. Constant-time comparison. Blindingly fast.
Then there is the Tag Pool — the analytical memory. Every module shares the same four tags (company, status, source, type). When you want to know “how many contacts came from CSV imports, grouped by company name and invoice status” — LARRY doesn't crawl through five different tables. He has already memorized the entire Tag Pool — streamed into living memory in real time over SSE — so the answer surfaces in milliseconds, keyed by identity hash. No schema coordination. No duct-taped LLMs.
The result: One system. Two heads. Zero joins. Perfectly connected. That is not a feature — it is a new category of AI. And it is why companies that try LARRY never go back to fragmented software.
| MODULE | IDENTITY | KEYCHAIN | IMPORT | ADD | INTAKE | PROCESS | CENTRALIZE | REPORT | PROPAGATE |
|---|---|---|---|---|---|---|---|---|---|
| CONT | Contact | KCON | RCON | ACON | ICON | PCON | MCON | SCON | OCON |
| INVC | Contact | KINV | RINV | AINV | IINV | PINV | MINV | SINV | OINV |
| LOCN | Contact | PLOC | |||||||
| LOCN | Parcel | KLOC | RLOC | ALOC | ILOC | PLOC | MLOC | SLOC | OLOC |
| OPNS | Contact | KOPN | ROPN | AOPN | IOPN | POPN | MOPN | SOPN | OOPN |
Before AI filled headlines, Christensen Côtéclat was already deep in artificial intelligence. In 1999 he didn't just start a company — he composed a movement: one where code meets consciousness, and data becomes art.
With dual mastery in Statistics from Oxford and Stanford, followed by Computer Science research at Harvard — where he published neural-network breakthroughs — he assembled the tools to rewrite reality. A member of the Oxford Union Society, his rule is simple: N'abandonne jamais, ou tu iras en enfer.
Based in the 11th arrondissement of Paris, his work never stops. By dawn he's debugging Python; by night he's live-coding music in underground venues, merging AI with trance and Memphis vocals. When he steps away from architecting AI systems, he's cleaning the ocean — no press, no posts, just deep work.
LARRY, the Core Engine — WID (PORT) — the full engine for local development with all blueprints loaded.