The Scientific Optimization Layer for Enterprise AI

Stop Overpaying
For AI Inference.

Quantum Webb is the first scientific optimization layer for enterprise AI. We autonomously benchmark, compress, and route your workloads to reduce token costs by up to 80%—without ever compromising output quality.

Book Enterprise Pilot
80%
Cost Savings
100%
Accuracy Maintained
Zero
Regressions
100%
Auditable Proof
optimization_stream.log
Live Orchestration
01. Incoming Application PromptAnalyzing...
"Execute client invoice transfer of $2500 & send notification email."
02. Router & Token Optimizer
Prompt Compactor-62% Tokens
Route:Claude-3-Sonnet
03. Hallucination Safeguard
Confidence Score:99.2%
No Hallucinations
04. Human-In-The-Loop Check
Financial operation detected.
Aggregated Savings:
0tokens
$0.00

Backed by the Vanguard of AI Infrastructure

NVIDIA

Inception Program

Google Cloud

GCP Cloud Accelerator

AWS Startups

AWS Startups

Datadog

Partner Program

NVIDIA

Inception Program

Google Cloud

GCP Cloud Accelerator

AWS Startups

AWS Startups

Datadog

Partner Program

NVIDIA

Inception Program

Google Cloud

GCP Cloud Accelerator

AWS Startups

AWS Startups

Datadog

Partner Program

CONTINUOUS OPTIMIZATION PIPELINE

Automate Your AI FinOps

Stop guessing which models and prompts yield the best ROI. Our 4-stage scientific pipeline rigorously optimizes your exact workloads to discover the absolute lowest-cost deployment strategy—without sacrificing output quality.

01
Workload Profiling
02
Multi-Model Benchmarking
03
Prompt Compression
04
Context Alignment
Stage 01

Define Constraints & Baselines

Automatically parse your business requirements to establish strict baseline metrics, quality holdouts, and hard budget caps before a single benchmark runs.

Target: ≥80%Cap: ≤$0.03/req
Automated Execution
No manual intervention required.
PROVABLE ROI & HARD EVIDENCE

AI Proposes. Evidence Validates.

No black boxes. Quantum Webb provides a deterministic, auditable benchmark matrix for every workload. Review the holdout scores, approve the optimized policy, and deploy with absolute financial confidence.

Benchmark Matrix
3D Pareto Frontier
Workload Slice Heatmap
CONTROLLED MULTI-MODEL BENCHMARK (LIVE INFERENCE)
Sample Size: 1,200 Claims • Holdout Gate: claim_0005
MODEL CANDIDATEPROVIDERCOST / REQOVERALL QTYP95 LATENCYELIGIBILITY
GPT-4 (Baseline)
openai/gpt-4
OpenAI$0.035098.2%3200.0 ms
REJECTED
Cost $0.0350 > cap $0.0200
Qwen 3.8 27B
qwen/qwen3.8-27b
Groq$0.000288.6%539.3 ms
REJECTED
Quality 88.6% < threshold 98.0%
Llama 3 70B (Instruct)
PARETO OPTIMAL
meta/llama-3-70b
AWS Bedrock$0.004098.9%850.0 ms
APPROVED
88.5% Cost Reduction
ENTERPRISE GOVERNANCE & SECURITY

Deploy with Absolute Financial Confidence

Optimization should never introduce risk. Quantum Webb’s scientific pipeline executes inside a strictly controlled, isolated environment with mandatory human sign-offs.

Air-Gapped Experimentation

The optimization pipeline runs in an isolated sandbox. The optimization engine can benchmark, discover, and recommend policies, but it is strictly prevented from altering production routing without explicit human approval.

Pre-Flight FinOps Gates

Hard budget ceilings are enforced at the compiler level. Before any benchmark executes, pre-flight estimation calculates token consumption to ensure the optimization run never costs more than the savings it generates.

Immutable Audit Trails

Every routing policy change is backed by versioned, exportable datasets and performance logs. Fully transparent evidence trails ensure that risk officers and engineers can trace exactly why a policy was updated.

INTERACTIVE SIMULATOR

Test the Optimization Lifecycle

Select a heavy enterprise workload below to simulate how Quantum Webb's 4-stage pipeline autonomously discovers the most cost-effective deployment strategy.

* Disclaimer: This module is an interactive visual representation of the Quantum Webb architecture designed for marketing purposes. While it accurately depicts the expected backend flow, routing mechanics, and security interventions, it is a sandboxed simulation and does not process live production data or connect to real-world APIs.

1. Define Workload

2. Pipeline Output

qw-optimization-pipeline
Awaiting workload definition...

Optimization Complete

Ready for production deployment.

Token Optimization
00
Cost / Execution
$0.00000$0.00000
DEVELOPER CONSOLE

Quantum Webb Console

Analyze your workload optimization metrics, track token compression ratios, and configure Human-in-the-Loop triggers in real-time.

Project: enterprise-finops-prodAPI Active
Estimated Cost Saved

$12,482.40

Token Reduction Rate

64.2%

HITL Intercepts Approved

4,829

Aggregated Savings Curve (Past 7 Days)Updated real-time
MonTueWedThuFriSatSun
Recent Intercept LogsLive Feed
Financial Settlement: $45,000.00
Action: Banking API wire | Recipient: ACME Logistics
Approved2 mins ago
Config Override: admin_routes.json
Action: Write Request | Source: Node-9 (Untrusted)
Blocked14 mins ago
SQL Mutation: UPDATE set_user_role
Action: Ledger Sync | Target: PostgreSQL ID 8294
Approved1 hour ago
ROI CALCULATOR

Analyze Your AI Cost Reductions

Calculate your net savings by deploying Quantum Webb's scientific optimization pipeline. Adjust the sliders below to estimate token compression and Pareto optimal model routing cost benefits.

Configure Your Monthly Prompt Volume

Daily Requests50,000
Average Tokens / Prompt2,000 tkn
Baseline Price / 1M Tokens$10.00
GPT-4o Mini / Llama ($1.00)Claude Sonnet / GPT-4o ($15.00+)
Quantum Webb Optimization Yield54% Cost Drop
Direct API Cost
$30,000 / mo
With Quantum Webb Optimization
$13,800 / mo
Cost Efficiency$16,200 saved / month
Orchestration Yield: We compress prompts and route 60% of volume to edge cache and local SLMs at 10x lower rates, reserving frontier models for reasoning-dense tasks.
CORE TEAM

The Minds Behind the Platform

Engineered by a specialized team of industry pioneers, Wall Street veterans, AI researchers, and distributed systems architects.

Vishal Ahluwalia

Vishal Ahluwalia

Founder & CEO

Entrepreneur AI & Ex-JPMC/UBS

Jeff Silvers

Jeff Silvers

CFO

Ex-Wall Street and Proven Finance Expert

Aman Singh

Aman Singh

Chief AI Officer

Deep Tech Technologist & Startup AI Lead

Lyudmila Mishra

Lyudmila Mishra

Chief Technology Officer

Ex-CIO Wells Fargo

Parth Gohil

Parth Gohil

Lead AI Scientist

AI Research Scientist

Greg Mall

Greg Mall

Lead Technology Head

Software Developer

ADVISORY BOARD

Strategic Advisors

Thelma Ferguson

Thelma Ferguson

Vice Chair for JPMorgan Chase

EX- Vice Chairman of JP Morgan

Mourad Sarrouti

Mourad Sarrouti

Principal AI Scientist, Guardian Life

EX - NIH, Sumitomo pharma, Yale, Clara Analytics

Rafa Rocha

Rafa Rocha

Batavia group

Strategic Advisory

Book an Enterprise Pilot

Schedule a technical deep-dive with our founding engineering team.

GET EARLY ACCESS

Get Early Access to the Active AI Gateway

Implement the active reverse proxy layer to route LLM requests, reduce token overhead, audit output payloads, and secure high-risk autonomous transactions.

SOC2 Type II Framework•Self-Hosted & Cloud Options•Developer-First APIs