Data requests shouldn’t take weeks.
Iris is the AI analyst every businessperson needs, with zero setup, real insights, live in a day.
Meet the future of decision-making → https://t.co/BSaC8DWsX9
The true power of AI isn’t a chat UI on dashboards.
It’s a system that can reason—with context and guardrails.
To unlock that, we built Iris Context:
🧠 Learns your data
⚖️ Enforces business rules
🤖 Powers accurate, human-level reasoning
https://t.co/8DSs3LOb0B
The true potential of AI isn’t in answering questions dashboards already cover. It’s bringing data insights to areas where data was rarely used —because the cost is too high. When that happens, companies can work "smarter, faster and more connected": https://t.co/2y4hLxweul
🚀 Meet Iris — your AI analyst for faster, smarter decisions.
Most orgs still run on gut instinct. Why? Insights are slow, and expensive
Iris changes that:
⚡️ Human-level reasoning
🛠 No setup, no SQL
💡 Answers real questions in minutes
https://t.co/KAm8MbTOZq
For our inaugural 'In the Labs' interview series, we sat down with founder @amitag to hear why he’s building an AI startup in BCV Labs after selling his company @theyes to @Pinterest.
Amit is the type of founder who is as thoughtful about product as he is about the art of leadership, and he shared his hard-won lessons from both. As one example, he believes that early-stage CTOs should be highly involved in non-engineering parts of the business, and this extends to the team.
"I don’t like to hire engineers who say they don’t think about the product. If someone says, 'I’m going to build what you tell me to build,' I won’t hire them. Big companies are different, but a startup is a combination of technology, product and go-to-market. As an engineer, you cannot build a product without having a good understanding of the trade-offs involved in something like whether a product should be self-serve, for example. If you don’t understand the go-to-market implications and you don’t understand the fact that adding a certain config is going to add lots of work for the customer and the customer success teams, then you’re not doing your job."
https://t.co/YarzONhqZr
@gokulr Maybe it is not the compound startup (building multiple solutions) but the easy of use/deployment that is key (and what is under-estimated by most companies).
@anshublog Cloud vs in-house is no longer about cost. If you want to use the best in class database tech or AI or warehouse tech, you need to be in the cloud
@rauchg I agree that this is a huge opportunity. But this is not a direct application of LMs in the same way that pure text applications are. Solving this requires product workflow innovation and so I believe it is a paradigm shift.
@lessin By generative AI, if you mean cos that use GPT-3 to power simple apps, I agree there is too much hype. OTOH, if you use it more broadly to mean harnessing the power of AI and NL as demonstrated by GPT-3 and other LLMs, I think we are under-estimating how transformational this is
Selected by @theinformation as #3 of Top 50 Most Promising Start Ups within commerce. Criteria: the potential to be the most valuable businesses in their category.🚀🚀 Thank you @luxeoflique! https://t.co/dL1M5dBWTw
Join CTO and Co-Founder @amitag on this powerhouse panel of AI experts in commerce from companies @awscloud@Wayfair@neimanmarcus at @NRF_NXT THIS WEDNESDAY, 9/29, 12-12:45 ET, registration is free.