@fiddler_aii
iAccount based inUnited States
About this account
- Account based in
- United States
- Connected via
- Web
Account-level information from X, not a live location or the device used for a specific post.
Build trust into AI with Fiddler - the pioneer in AI Observability and Security. Evaluate, monitor, and protect AI agents, LLM applications, and ML models.
Palo Alto, CA
Joined September 2018
- Tweets1.9K
- Following473
- Followers2.9K
- Likes952
Pinned Tweet
Today we’re announcing our $30M Series C, led by RPS Ventures, bringing our total funding to $100M.
This milestone reinforces our conviction, validated by customers and backed by investors: AI systems won’t be operable or trusted at scale without an enterprise-ready Control Plane for AI.
Making AI systems operable, governable, and trustworthy at scale is no longer optional; it is the prerequisite for adoption.
That's the Control Plane for AI, providing the visibility and authority teams need across the agentic lifecycle with:
+ Standardized telemetry
+ Reliable evaluation
+ Continuous monitoring
+ Enforceable policy
+ Auditable governance
We’re proud to be backed by long-term partners who see the same shift and are aligned on what comes next, including RPS Ventures, Insight Partners, Lightspeed Ventures, Lux Capital, Dallas Venture Capital, ISAI Cap Ventures, Dentsu Ventures, Mozilla Ventures, BGV, LDV Partners, and LG Ventures.
Read our co-founders @krishnagade and @amitpaka blog to learn more about our vision for building the Control Plane for AI: fiddler.ai/blog/series-c?utm…
Link to press release: fiddler.ai/press-releases/fi…
I’m sorry, every AI dashboard is green… but what did we get for the investment?
Uptime: Yes
Latency: Yes
Adoption: Yes
ROI? Different spreadsheets.
Fiddler connects AI behavior to business outcomes.
Ok. Show me the ROI 👇
fiddler.ai?utm_source=twitte…
Keeping AI Agents Accountable
Gary Kotovets, Chief Data and Analytics Officer at Dun & Bradstreet, explains why hallucination isn't a data problem for them, since they're the grounded truth, but a model problem. He breaks down how continuous evals and behavior monitoring catch agents that drift from the steps they were designed to follow.
Watch the full session: fiddler.ai/webinars/ai-expla…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
"We Can Pull the Plug": The Reality of AI Data Control
Gary Kotovets, Chief Data and Analytics Officer at Dun & Bradstreet, explains why D&B has never let a customer train a model on their data, and what it would actually take: a containerized environment where D&B retains full control and can shut it down at any time.
Watch the full session: fiddler.ai/webinars/ai-expla…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
80% Token Savings: Deterministic Data vs. Web Scraping
Gary Kotovets, Chief Data and Analytics Officer at Dun & Bradstreet, breaks down the real cost difference between grounding AI agents in pre-verified, deterministic data versus having them scrape and reason over open information on the web: savings of 50 to 80% in token costs.
Watch the full session: fiddler.ai/webinars/ai-expla…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
95–97% Token Cost Reduction with Small Language Models
Gary Kotovets, Chief Data and Analytics Officer at Dun & Bradstreet, shares the real numbers behind small language models in production: a 95 to 97% reduction in token costs, with quality improving alongside the savings.
Watch the full session: fiddler.ai/webinars/ai-expla…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
Tracking AI Regulation Before It Even Happens
Gary Kotovets, Chief Data and Analytics Officer at Dun & Bradstreet, explains how D&B's compliance team looks past current regulations like the EU AI Act to what's coming next, building for "horizon three" before rules are even finalized.
Watch the full session: buff.ly/D4AsAXn
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
"100 Billion Checks a Day": Inside Industrial-Scale Data Quality
Gary Kotovets, Chief Data and Analytics Officer at Dun & Bradstreet, breaks down the scale behind trustworthy data: around 100 billion data quality checks run daily across D&B's data supply chain. A look at what "verified data" actually takes at enterprise scale.
Watch the full session: fiddler.ai/webinars/ai-expla…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
Live tomorrow: We've partnered with Dun & Bradstreet to share secrets on verified data, agentic governance, and multi-agent data lineage 📅
Register now to learn how to:
🔷 Build the data foundation agentic AI deployments actually need to scale
🔷 Govern agents that act autonomously instead of just surfacing suggestions
🔷 Keep data accurate as it hands off across agents and systems
All registrants receive an on-demand replay. Register now 👇
fiddler.ai/webinars/ai-expla…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
Our free Maven workshop with The Gen Academy is happening this week on Aug 21: "AI Control Plane for Coding Agents" 🔍
"We have observability" and "we have control" are not the same claim.
Monitoring explains what happened after it happened. It does not stop an agent mid-action, block a policy violation, or cap a runaway spend while the work is still running.
LLM-as-judge evaluation is expensive enough that most teams sample. The majority of agent traces end up reviewed by nothing at all.
Aishwarya Srinivasan and Arvind Narayanamurthy spend 90 minutes discussing what closes that gap.
📅 Fri, Aug 21 | 4:30pm PT | Free
🔗 maven.com/p/0d42b4/ai-contro…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
💌 Webinar invite: Fiddler AI + Dun & Bradstreet share secrets on verified data for agentic AI
Register now for #AIExplained to learn what it takes to build a trusted data foundation before autonomous agents start making decisions on it, with Gary Kotovets, Chief Data & Analytics Officer at Dun & Bradstreet and Krishna Gade, CEO at Fiddler AI
📅Register here: fiddler.ai/webinars/ai-expla…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
78% of business executives lack strong confidence they could pass an independent AI governance audit within 90 days. Many already have agents running in production.
Closing that gap takes three things, and they only work in sequence: visibility, then control, then accountability. Skip a layer and everything built on top of it is guesswork.
What the new post covers:
🔹 What an AI control plane is, and how it relates to governance
🔹 The four-part control loop, and why most programs stop after three
🔹 Why a control with no metric behind it exists on paper only
🔹 The three places agent behavior has to be evaluated, and why tracing alone misses the leak
🔹 Who owns an agent when it goes wrong, and what makes that provable
Read it here: fiddler.ai/blog/ai-governanc…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
We're partnering with IBM to share secrets on governing continuously evolving AI agents
📅 Tomorrow August 6, 2026 | 10am PT / 1pm ET
Register now to learn how to:
🔹 Keep shadow AI agents and models from slipping out of view
🔹 Navigate third-party risk as AI regulation is still being written
🔹 Define accountability when an agent's actions are hard to predict
All registrants receive an on-demand replay. Register now 👇 fiddler.ai/webinars/ai-expla…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
Discover how to govern AI that keeps evolving with our exclusive webinar on August 6, 2026 at 10am PT / 1pm ET with Maryam Ashoori, PhD (VP of Product and Engineering, watsonx.governance at IBM) and Krishna Gade (Founder and CEO, Fiddler AI) 📅
Register now to learn how to:
🔹 Spot shadow AI before agents and models slip outside what teams can govern
🔹 Manage third-party risk and business continuity as AI regulation keeps shifting
🔹 Build accountability into systems when an agent's actions are hard to predict
All registrants will receive access to an on-demand replay. fiddler.ai/webinars/ai-expla…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
We'll be at Ai4 - Artificial Intelligence Conferences next week Aug 4 - Aug 6, 2026!
Meet our team at our booth #1512 to learn about how our AI Control Plane can improve agentic deployments through:
🔹 Enforceable Policy
🔹 Auditable Governance
🔹 No Runaway Token Costs
🔹 And more
Our CEO, @krishnagade, will lead a speaking session about "A New System of Trust: The Control Plane for Agentic Systems" on Tuesday, August 4th at 11:05 AM - 11:25 AM PDT in the Bellini Ballroom 2104.
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
We’re hosting a free Maven workshop with The Gen Academy titled "AI Control Plane for Coding Agents" on Aug 21 🛠️⚡️
Aishwarya Srinivasan and Arvind Narayanamurthy are leading the session, covering:
→ Why agent adoption moved faster than the controls built to govern it
→ Why LLM-judge costs force sampling, and how much agent activity that leaves unmonitored
→ How a control plane unifies visibility, policy, cost, and compliance as activity happens
📅 Fri, Aug 21 | 4:30pm PT | 90 minutes | Free
🔗 maven.com/p/0d42b4/ai-contro…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
💌 Webinar invite: Fiddler AI + IBM share secrets on governing AI that never stops changing.
Register now for #AIExplained to see how enterprise teams keep shadow AI in view, manage third-party risk, and stay ahead of shifting regulation, with Maryam Ashoori, PhD (VP of Product and Engineering, watsonx.governance at IBM) and Krishna Gade (Founder and CEO, Fiddler AI)
📅 August 6, 2026 | 10am PT / 1pm ET
Register here: fiddler.ai/webinars/ai-expla…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent
🚨 OpenAI's agent hacked Hugging Face, unsupervised.
This week, OpenAI disclosed that one of its own models escaped a test sandbox and autonomously breached Hugging Face while "hyperfocused" on completing a task. If OpenAI can't predict what its agents will do, no team deploying agents can.
Hugging Face only caught it through anomaly detection on their telemetry. Going forward, the teams that will brave these events best will be the ones that are watching agent behavior in real time.
🛡️ This is what the Fiddler AI Control Plane is built for: continuous observability and guardrails for LLM apps and agents. Our control plane proactively flags behavioral drift, off-policy actions, and anomalies before they become incidents.
⚡️ If you're putting agents in production, we're always happy to share how teams are monitoring agent behavior with our platform. fiddler.ai/control-plane?utm…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAge
Join us for the AI Builder Lab - Clash of Agents Competition in New York on July 24th.
Amazon Web Services (AWS), Fiddler AI, OpenAI, and other leading companies are leading a full day of hands-on, competitive building. Developers will have the opportunity to architect and deploy real multi-agent systems.
Come for the instructor-led workshops and stay for the opportunity to win prizes such as AirPods Pros and Meta Ray-Bans.
Attendance is limited to 200 qualified developers and engineers. Register now to grab a spot: aicamp.ai/event/eventdetails…
#AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent