Sentinel A.I detects retail sentiment in real time and arms your IR team with strategies to amplify bullish and address bearish sentiment.
Retail investors move markets now.
Retail investors have become a dominant, narrative-driven force in public equities. Their conversations move your stock on a daily basis.
of investors now cite social media as a top source of financial news. The story about your stock is being written on platforms you do not control. Sentinel is how you detect the narrative in real time and shape the narrative that follows.
Betterment, 2025Everything you need to see, verify, and shape the narrative.
Sentiment Intelligence
Our finance-tuned language model scores every mention on a continuous bullish-to-bearish scale, calibrated on over five years of stock market chatter.
Narrative Intelligence
Our proprietary narrative engine clusters scattered mentions into coherent stories shaping investor perception - connecting the dots across platforms.
Verification Engine
We cross-reference SEC filings and your current media engagements to verify every incoming narrative claim in real time.
Competitive Landscape
We monitor every story and narrative around your key competitors 24x7, so you always know the cybersocial pulse of your industry.
Source Intelligence
Streaming pipelines ingest news, social, and forum signals within seconds of publication - your view of the market is never more than moments old.
Alerting & Monitoring
Proprietary anomaly detection watches chatter velocity around the clock and flags abnormal sentiment spikes the moment they emerge.
Executive Reporting
Weekly intelligence reports with board-ready narrative highlights, delivered directly to your leadership team.
Recommendation Engine
Fully customized IR content packages generated on the spot to amplify bullish narratives or address bearish ones.
Your intended message is not the message the market receives.
Retail investors build the narrative around your ticker in real time, on platforms you do not control. Sentinel measures what you said against what the market heard.
Sentinel detects this divergence in real time, then hands your IR team the content to close it.
Know what retail is saying about your stock, today.
See Sentinel on your own ticker in a live walkthrough — no commitment required.
See it, verify it, and shape what comes next.
From real-time detection to the executive read, every layer of issuer-to-market intelligence sits on one platform.
See sentiment and narratives as they form.
Real-time scoring across every platform, with narratives surfaced the moment they cluster.
- Bull, bear, neutral, and mixed classification with velocity tracking
- Unsupervised clustering detects narratives before they spread
- Platform-level and influential-source sentiment, side by side
Every signal, cross-checked against the record.
Sentinel triages each detected claim against the primary sources. Three outcomes, three playbooks.
- Cross-checked against SEC filings, issuer announcements, and press releases
- Verified accurate routes to an amplification playbook
- Verified misinformation routes to a correction playbook
From intelligence to action.
Generate the right response the moment the narrative moves, in the format each channel expects.
Proprietary omni-channel remediation packages for IR teams
Sentinel listens as narratives form in real time across every retail channel and simultaneously creates proprietary content packages tailored for social media and news wire distribution. These ready-to-deploy packages are delivered directly to your leadership team - giving you the speed to amplify bullish momentum or address bearish sentiment before it sets.
The weekly read your board actually wants.
Narrative highlights, sentiment recaps, and full source attribution. Exportable, every week.
- Weekly intelligence reports with narrative highlights
- Sentiment recaps with velocity tracking
- One-click PDF export for the board deck
Know what retail is saying before it moves your stock.
See Sentinel on your own ticker in a live walkthrough.
Not just another LLM wrapper.
Most AI tools are a prompt sitting on top of a public model. Sentinel is a purpose-built intelligence pipeline, running proprietary narrative and sentiment intelligence techniques that have been battle-tested alongside governments and Fortune 500 companies.
Engineered to stay ahead.
Proprietary, layered, and purpose-built. The architecture running beneath Sentinel took years to develop and is not replicated anywhere else in the market.
From the moment a signal enters the system to the moment it reaches your team, every step is handled by purpose-designed components that have been refined through years of deployment in some of the most demanding environments in the world. No generic APIs. No off-the-shelf models stitched together. A unified pipeline built from first principles to do one thing exceptionally well: understand what retail is saying, verify whether it is true, and tell you exactly what to do next.
Four capabilities a wrapper cannot replicate.
A public model can summarize text. None of the following come out of a prompt.
Unsupervised Narrative Clustering
Sentinel discovers narratives as they form, with no keywords and no preset topics. Proprietary unsupervised clustering groups hundreds of posts into the storylines actually moving your stock, including the ones you would never think to search for.
Verification Triage Engine
Every claim is resolved to verified, misinformation, or unverifiable, checked against SEC filings, issuer social, and press releases. It is the layer your general counsel cares about, and it is exactly what a generic model cannot do.
Proprietary Labeled-Data Moat
Every verification decision becomes labeled training data unique to your market. The system compounds with use, building a dataset no competitor and no public model can reproduce.
Real-Time Multi-Source Pipeline
A continuous ingestion and enrichment pipeline across X, Reddit, Discord, financial news, and RSS, not a one-off query. Entities, themes, sentiment, and actors are scored the moment content appears.
See the engine run on your own ticker.
Public-market operators. The engineers behind national-scale intelligence.
Sentinel is built by people who have run investor communications, exited companies, and shipped intelligence systems used well beyond the capital markets.
Krishan Arora
Exited founder with deep public-market IR expertise, a Harvard economics graduate, and a Forbes Council Contributor on capital markets. Poker aficionado.
Pratik Ratadiya
Former NASA JPL researcher in anomaly detection, ex-Apple Machine Learning team member, and UC San Diego graduate researcher.
Adam Sohn
Founder of Narravance Technologies and the Network Contagion Research Institute (NCRI), a pioneer in narrative-intelligence research informing government and Fortune 500 work.
Backed by a team of specialists across content, operations, and engineering who support Sentinel from the inside.
Counsel from law and markets.
Juan Pablo Cappello
Founding Partner at PAG Law, NYU Law-trained, and a decade-long investor and legal advisor. Recognized as one of the Best Lawyers in America across Corporate, Derivatives, and Venture Capital law. Former Principal Shareholder of Greenberg Traurig's Latin American Group and a serial entrepreneur.
Phil Hellmuth
14-time World Series of Poker bracelet winner and widely regarded as one of the greatest players in the history of the game. A seasoned investor and venture partner, Phil brings an elite competitive mindset and a vast network spanning finance, public markets, and media.
Adam Wasserman
Veteran Wall Street trader and former head of a proprietary trading desk with decades of experience in financial markets. Holds two degrees in mathematics and teaches at the University of Maryland. Leads strategic research and development, continuously refining the core algorithm through deep market insight.
Meet the team behind Sentinel.
Detection tells you what is moving. Verification tells you if it is true.
Every detected claim is cross-checked against the primary record, then routed to the playbook that fits.
Monitor. Diagnostic. Treatment.
Sentinel reads issuer to market communication the way a hospital reads vital signs.
- Detection is the monitor, the continuous read on the room
- Verification is the diagnostic, the cross-check against the record
- Remediation is the treatment, the response that closes the gap
Unverifiable becomes proprietary.
When a claim cannot be settled against SEC filings, issuer social, or press releases, Sentinel routes it to a manual attestation step. Each decision becomes labeled training data that no competitor can replicate, and makes Sentinel the system of record for how your market reads you.
Stop guessing which claims are real.
The response, generated the moment it is needed.
Four launch modules turn live intelligence into the content that closes the gap.
Press releases
Generated directly from real-time narrative and sentiment intelligence, so the wire reflects the conversation already happening.
Omni-channel content
Per-platform formatting from a single source. X short-form, Reddit and LinkedIn long-form, Instagram and Facebook visual, and the IR FAQ as canonical.
Earnings call prep packs
Assembled starting four weeks before each call, surfacing the questions retail is already asking and the narratives most likely to dominate the read.
Executive voice content
Drafted in the voice of your executives, consistent across every post, statement, and appearance.
Turn the narrative before it turns you.
One platform.
One price.
Every module included. No seat fees. No add-ons. No annual contract.
Every feature. One subscription.
It pays for itself the first time it works.
One narrative caught early. One misinformation event corrected before it spreads. The platform has paid for itself many times over.
See it on your ticker before you decide.
Schedule a live walkthrough. No commitment required.
See Sentinel on your own ticker.
A live walkthrough on your company, with the sentiment, narratives, and verification running on real data.
- 01 A live read on your current sentiment and narratives
- 02 Your top three narratives, verified against the record
- 03 A sample recommendation, generated on the spot