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News articleCB Insights

CEO Interview: Orq.ai

View original at cbinsights.com
CB Insights - Enterprise Ai Title: CEO Interview: Orq.ai Date: 2026-04-08 17:14 Source: https://www.cbinsights.com/research/ceo-interview-orq-ai/ <h4><span style="font-weight: 400;"><strong>Cameron McKelvie, Head of AI Implementation at <a href="https://app.cbinsights.com/profiles/c/AYrgn?tab=overview">Orq.ai</a></stro…
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What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

  • AI doesn't work well when it is siloed within a technical team and removing the developer will be required for businesses to scale their usage on a large transformational level

    60% confidence
  • Higher level of AI understanding in the market would enable 10x growth by allowing sales conversations to start at step 4 or 5 instead of level 0

    60% confidence
  • With AWS Bedrock and Azure Foundry, costs tend to go up exponentially, not linearly with usage, and additional functionalities require extra payment

    60% confidence
  • The number of agents being used is going to 10x over the next 10 months in an enterprise setting

    60% confidence
  • A lot of institutions, particularly financial, defence, and governance institutions, are making an active effort to look at their supply chain and buy more European due to EU sovereignty concerns and US government instabilities

    60% confidence
  • Companies often use 5 different tools to do what one tool should be able to do in AI management

    60% confidence

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What we're seeing
AI Capital Surge Meets Investor Caution: Record Funding Rounds and Government Contracts Amid Valuation Skepticism
A single-week cluster of large AI/fintech funding rounds (Socure, Stability AI, Emerald AI, Generalist AI, Instinct, Gatik, Regent Craft) shows venture capital still pouring into AI infrastructure, identity, and autonomy plays, while Palantir's Army TITAN contract win coincided with a 6% stock drop — signaling that even flagship AI-defense revenue isn't immune to market reassessment of AI valuations. Efficiency-focused innovations like Multiverse Computing's model compression suggest the sector is also pivoting toward cost/inference economics as capital intensity draws scrutiny.
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Morgan Stanley & Co. LLC
The same metric (eps) for the same entity (Morgan Stanley & Co. LLC) reported for the identical fiscal period (Q1 2026) and observation date (2026-03-31) has two conflicting values: 3.43 USD_per_share vs 3.08 USD. This is not a temporal change — both observations claim to measure the same point in time. The ~10% discrepancy (0.35 USD difference) is material for a financial metric.
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