Company — Verace AGI

Market Opportunity

The trust layer for
every AI deployment

TAM

$18B+/year

SAM

$2–4B/year

SOM

$50–100M

Healthcare$3–12B

Legal$1.8–9B

Finance$7.2–36B

Insurance$1.2–2.4B

The Bigger Opportunity

AI Agents: $50–100B by 2028

Every AI agent that takes actions needs to know when to ask for help vs proceed. Our confidence signal is the missing piece.

An agent without uncertainty awareness is a liability. An agent with it is deployable.

Revenue Streams

API (per-token confidence)

$0.03 / 1K tokens

80–90%

Enterprise Platform

$200K–2M / year

80–90%

LLM Provider Licensing

$5–20M / year

90%+

The Long-Term Vision

The world's first foundation model with a complete artificial nervous system

Building a 100B-parameter brain-complete model from scratch. Not inspired by the brain as a metaphor — implementing its computational principles at scale.

0.8%

Neural Activation

At 105M scale, our architecture achieves 0.8% neural activation — matching the human brain's ~1–2%. 100B stored knowledge, 800M focused expertise.

125x more compute-efficient

The human brain: 86B neurons, ~1% active at any moment.

Standard Transformer100%

Human Brain1.5%

Verace 100B (theoretical)0.8%

Inference Cost Revolution

Model	Parameters	Active / Token	Relative Cost
GPT-4 (rumored MoE)	~1.8T	~200B	250x
Llama 3 405B	405B	405B (dense)	506x
DeepSeek V3	671B	~37B (MoE)	46x
Verace 100B (theoretical)	100B	~800M (0.8%)	1x

Cheapest inference of any frontier model — while being the only one with built-in uncertainty.

The Brain Parallel

Dimension	Human Brain	Verace 100B	Transformer
Total capacity	~86B neurons	100B params	100B params
Active at any moment	~1–2%	0.8%	100% (dense)
Knows when uncertain	Yes	Yes	No
Working memory	Yes	Yes	No
Learns from surprise	Yes	Yes	No
Self-monitoring	Yes	Yes	No

Scaling Roadmap

Current✓ Done

1.1B adapter

Now

Phase 1

7–8B adapter

Months 1–6

Phase 2

7–8B from scratch

Months 6–12

Phase 3

70B adapter

Months 12–18

Phase 4

100B from scratch

Months 18–30

Team & Traction

Krrish Choudhary

Solo Founder & Architect

Built the entire Verace AGI framework from first principles: a neuroscience-grounded system of dozens of mechanisms with formal convergence proofs, validated empirically.

B.Tech CS, LNMIIT Jaipur (graduating 2027)

Software Developer at Incredible — production AI: chat (100+ integrations), voice (Rust), agents (300+ services)

Published researcher — 2 papers (IJTRP, Feb 2026)

NeurIPS 2025 — multi-modal deep learning

GoQuant Technologies — C++ low-latency (Miami)

Seed Funding Goals

7–8B scale validation— Llama 3 / Qwen 2.5 adapter

100B from-scratch model— Brain-complete foundation model

Enterprise pilot— Healthcare or legal deployment

What's Been Achieved

Proprietary mathematical framework — dozens of mechanisms with convergence proofs

Working implementation — wraps any open-weight LLM

0.917 AUROC hallucination detection at 1.1B

-6% perplexity improvement over base

+88.6% Intelligence Index

2 published papers (IJTRP, Feb 2026)

Zero degradation at initialization verified

Next 90 Days

→ Validate at 7–8B scale (Llama 3 / Qwen 2.5)

→ Instruction tuning for knowledge recovery

→ Speed optimization to <20% overhead

→ First enterprise pilot (healthcare or legal)

The market for trustworthy AI
is measured in tens of billions

A normal LLM is a brilliant expert who never says “I don't know.” We fixed that. Any LLM gains the ability to feel uncertainty with >91.7% accuracy.

krrishchoudhary109@gmail.comGitHubLinkedIn

The trust layer forevery AI deployment