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AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor GitHub - GenAI-Gurus/awesome-eu-ai-act: Curated tools, official sources, OSS, templates, and guides for EU AI Act compliance. Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders How to Switch AI Chatbots and Why You Might Want To GitHub - MattMessinger1/agentic_refund_guardrail: Safe refund policy layer for AI agents — Python + TypeScript. Same behavior, shared tests. 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Eliminates tool bloat, loads only what’s needed, and gives LLMs their reasoning space back. How to Build a Secure AI PR Reviewer with Claude, GitHub Actions, and JavaScript This Startup Wants You to Pay Up to Talk With AI Versions of Human Experts Intel Arc Pro B70 Brings 32GB VRAM to Local AI for $949 WordPress 7.0: The Good, the AI, and the Still Missing AI on the couch: Anthropic gives Claude 20 hours of psychiatry IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures AI Agents Know About Supabase. They Don't Always Use It Right. The history and future of AI at Google, with Sundar Pichai Inside an AI‑enabled device code phishing campaign How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines AI for Systems: Using LLMs to Optimize Database Query Execution Forecasting the Economic Effects of AI Introducing Tinker: Play with AI, bring your ideas to life AI sheds light on an ancient gaming mystery People really hate AI but not as much as Iran—or Democrats | Fortune What is an AI Product Engineer? Phoebe Gates wants her $185 million AI startup to succeed with 'no ties to my privilege or my last name': 'I have a chip on my shoulder' | Fortune
OmniscientIQ — AI-Powered AI for Your AI
BK Brenda Kowalczyk Chief Transformation Officer, Vantadyne · 2026-06-11 · via Hacker News - Newest: "AI"

Trusted by forward-thinking companies

We Use AI to Bring
AI to Your AI

OmniscientIQ's proprietary AI-first AI platform leverages cutting-edge artificial intelligence to intelligently apply AI across your existing AI workflows, at scale.

↓ scroll to understand less

Powering AI transformation at

Vantadyne Deploywise Neurally Datawyn Velwyn Dexamaxx AI

The Platform

AI That Thinks About
Your AI So You Don't Have To

Our proprietary Intelligence Intelligence™ layer sits on top of your existing intelligence layer and intelligently optimizes its intelligence using intelligence.

99.9%

AI Uptime Intelligence

∞x

Workflow Synergy Multiplier

$0

Quantifiable ROI (pending)

🧠

Cognitive Workflow Re-architecture

We analyze your workflows using AI to identify which workflows would benefit from AI, then apply AI to those workflows to make them AI-powered. The result? Workflows.

🔄

Recursive Synergy Loops™

Our platform creates self-reinforcing synergy loops where each synergy feeds back into the synergy engine, compounding synergies into a unified synergy that delivers synergy.

🌐

Omnichannel Intelligence Fabric

By weaving your intelligence into our intelligence fabric, your intelligence becomes fabric-native, enabling your team to fabric your intelligence intelligently across all fabrics.

Frictionless Value Extraction

We identify friction in your value chain and extract the friction, leaving only value. That value is then re-inserted into the chain as high-velocity frictionless value-value.

📊

Hyper-Contextual Data Orchestration

Our orchestration layer orchestrates your data by contextualizing contexts within contexts, so that every decision is made in the context of previously contextualized contexts.

🚀

Scalable Scalability Engine

Built to scale your scaling capacity, our engine scales the scale of your scale horizontally, vertically, and diagonally, ensuring you can always scale more scale, faster.

Process

How OmniscientIQ Works

Our four-step proprietary framework is the only framework that frameworks your framework using a framework. It's called the AIAF Framework (AI-Assisted AI Framework).

1

We Learn Your AI

Our AI audits your current AI to understand how your AI is doing AI. We call this the AI Discovery Phase, or ADP (AI Discovery Phase).

2

We AI Your AI

Using insights from Phase 1, we overlay our AI on top of your AI, creating a dual-AI AI-stack capable of AI-ing your most AI-adjacent AI opportunities.

3

We Synergize the Synergies

Cross-functional synergy alignment workshops align cross-functional synergies into a single cross-functional alignment of synergistic cross-functional value.

4

Outcomes. Results. Impact.

We deliver a comprehensive report detailing the outcomes, results, and impact of your outcome-driven results and impact-focused outcome delivery.

Social Proof

Don't Take Our Word For It

Hear from real customers who experienced something after using OmniscientIQ.

Before OmniscientIQ, we had workflows. Now we have AI-powered workflows. I'm not sure what changed, but our board loves the deck.

OmniscientIQ gave us the language to describe what we already weren't doing. Our AI strategy is now indistinguishable from having an AI strategy.

DP

Derek Patel

VP of AI Initiatives, Velwyn

We were skeptical, but after the AI Discovery Phase our AI was 100% more discovered. I don't know what else to say. The graphs go up.

ST

Stephanie Tran

Head of Workflow Synergy, Neurally

Pricing

Simple, Transparent Pricing
(Terms Apply)

All plans include unlimited access to our AI platform, subject to our Fair AI Use Policy, AI Rate Limits, AI Terms, and AI.

Starter AI

$499/mo

For teams beginning their AI journey toward AI.

  • Up to 3 AI Workflows
  • Basic Synergy Loops
  • 1 Cognitive Fabric Layer
  • Monthly Buzzword Report
  • Email Support (AI-generated)

Most Popular

Growth AI

$2,499/mo

For scale-ups ready to scale their scale with AI.

  • Unlimited AI Workflows
  • Recursive Synergy Loops™
  • Full Omnichannel Fabric
  • Quarterly Outcome Impact Summary
  • Dedicated AI Success Manager
  • Priority AI Support

Enterprise AI

Let's Talk

For enterprises who want enterprise things done in an enterprise way.

  • Everything in Growth AI
  • Custom AI Architecture Deck
  • Bespoke Synergy Strategy Session
  • C-Suite AI Narrative Alignment
  • Quarterly Executive Jargon Review
  • SLA (Subject to our AI SLA SLA)

Questions

Frequently Asked Questions

We've compiled the questions we most frequently answer, answered in a way we find frequently satisfying.

What exactly does OmniscientIQ do?

OmniscientIQ leverages proprietary AI to apply AI to your AI stack, enabling AI-driven outcomes that are driven by AI. At its core, we take your existing AI capability and make it more AI-capable, using AI. The result is an end-to-end AI-enabled AI ecosystem, which we call AI.

How is OmniscientIQ different from other AI companies?

Unlike other AI companies, OmniscientIQ is an AI company. While competitors focus on AI, we uniquely focus on AI through our proprietary AI-first lens. Most AI companies use AI. We use AI intelligently, which is where the intelligence comes in.

Do I need existing AI to use OmniscientIQ?

Great question. If you have AI, we AI your AI. If you don't have AI, we install foundational AI that we then apply further AI to, resulting in AI. Either way, you end up with AI. The journey is different. The destination is AI.

How long does implementation take?

Our typical implementation follows a 6-12-24-week phased approach, depending on the phase. Phase One takes between 1 and 8 weeks. Phase Two begins after Phase One and concludes before Phase Three. Most clients are fully AI-fied within a timeframe.

How do you measure ROI?

ROI is measured using our proprietary Return-on-AI-Investment (ROAII) framework, which calculates your AI investment return by measuring the return of your investment in AI against the investment you made. Reports are available quarterly or immediately upon request, whichever is sooner.

Is OmniscientIQ secure?

OmniscientIQ is built on a zero-trust, AI-secured security framework that uses AI to secure your AI from AI-adjacent security threats. We are SOC 2 compliant (pending), GDPR-ready (reviewing), and ISO certified (in discussion). Your data is safe, probably.