We build cortical intelligence —
AI that remembers, sleeps, and knows what it doesn't know
Verace AGI replaces statistical imitation with cortical intelligence: systems that remember in one shot, learn without supervision, consolidate knowledge during sleep, and know what they don't know. Our goal is artificial general intelligence grounded in the architecture of the brain.
Krrish Choudhary
Founder & CEO
It started with a question in 8th grade: how does the brain actually work? Not the textbook answer — the real one. How does a 1.4 kg organ produce memory, curiosity, dreams, and self-awareness from nothing but electrical signals? That question never went away.
Working on production AI every day at Incredible — chat, voice, agents across hundreds of integrations — the cracks became impossible to ignore. Every month brought a new memory hack, a new RAG framework, a new context window extension — all patching the same fundamental problem: transformers don’t remember, don’t learn, and don’t know what they don’t know.
Drafted "The Artificial Brain" in late 2025, published early 2026 — an attempt to build a brain-inspired architecture on top of transformers. The result was clear: the transformer structure is wrong. You can’t bolt memory, sleep, and curiosity onto an architecture designed for machine translation in 2017. The foundation itself needs to be replaced.
The realization crystallized: if real intelligence requires cortical columns, local learning, episodic memory, neuromodulation, consolidation — then someone has to build it from scratch. Not as a research proposal. As working code. Left Incredible in March 2026. Verace AGI was born.
In the months that followed: VCI — a complete cortical column network with 50+ cognitive mechanisms. One-shot episodic memory. Zero-backprop local learning. Autonomous sleep consolidation. Not a modified transformer. A replacement for it.
Krrish Choudhary
LNMIIT Jaipur · Class of 2027
Research, Production Systems & Recognition
Research
The Artificial Brain
The paper that proved transformers are wrong. Attempted a brain-inspired architecture on top of transformers — the result was clear: the foundation itself needs to be replaced. Published IJTRP, Vol. 2, Issue 2, February 2026.
StreamRAG v2
Real-time incremental code graph system with native parser daemons for 8 languages. Sub-0.05ms latency across 20K+ lines. Published IJTRP, February 2026.
Order Flow Trading
Published book on Amazon, First Edition. Quantitative finance and order flow analysis.
Hybrid GraphRAG for Cross-Lingual Legal Citation Retrieval
A multi-signal fusion approach for Swiss legal information systems. Currently in production.
Production AI
Ex Software Developer — Incredible
AI platform integrating 100+ third-party services with custom LLM fine-tuning, dual-agent architecture orchestrating 300+ services, and real-time voice assistant.
Ex Back-End Engineer — GoQuant Technologies, Miami
Low-latency C++ integrations for real-time market data from Binance and Deribit.
What We Believe
Every decision at Verace AGI is driven by these core principles.
Transformers Are Wrong
Next-token prediction produces imitation, not intelligence. LeCun agrees — he left Meta and raised $1.03B on the same thesis. We’re deeper on the solution.
The Brain Is the Proof
Every mechanism in VCI maps to a real brain structure. Remove one — a specific neurological disease emerges. That’s how we know the architecture is correct.
Intelligence Is Not Scale
You don’t get memory, sleep, or self-awareness by adding more parameters. You get it by building the right architecture.
Small Teams Can Win
The transformer was invented by 8 people. The original Unix was 2. The right architecture matters more than the right headcount.
We built the replacement
for the transformer.
Seeking pre-seed investment to validate VCI at scale. 50+ cognitive mechanisms. A complete cortical column network, not a modified transformer.