Unleash the Power of AI
Why NERVdata?
- Model-free Approach: Models “real world” without external constraints built from your data; as it is and not how it’s supposed to be.
- Robust Data Handling: Effectively manages missing & invalid data
- Time-independent: Provides both predictive and retrospective analysis.
- Quality Assurance: Incorporates terms of reference (TOR) for quality
Out of the Box Technologies
That Support AI
Rapid Deployment: Test, prototype, and launch fintech applications swiftly without building from scratch.
Unified Platform: Centralized AI tools and data controls.
Efficient Processing: Accelerate data handling to deliver timely, consistent, and accurate results.
Data Quality Challenges
Data Is Everywhere — But Rarely Ready for Use
From legacy systems and unstructured PDFs to multi-format data lakes, most enterprises face enormous friction in making data usable for AI. Challenges include:
- Incomplete or inconsistent formats
- Hidden data relationships across sources
- Long lead times from data collection to usable insight
- Limited trust in data integrity
NERVdata tackles these issues head-on, transforming fragmented data into structured, quality-assured input—ready for analysis, modeling, or regulatory reporting.
Meet NERVdata
From Raw Input to Business Intelligence — Seamlessly
Whether you’re in insurance, capital markets, or compliance, NERVdata adapts to your environment. Here’s how it works:
- NERVdata is available where, when, and how it is needed.
- It accepts structured, semi-structured, or unstructured data from any source
- Can use SMLL-powered AI to resolve ambiguities and apply business context
- Maps, links, and validates your data against your corporate business rules and governmental regulations
- Delivers actionable insights, complete records, or AI-ready datasets
All without heavy coding, data reformatting, or custom integrations
Data Quality Assured
NERVdata delivers real-time, explainable data quality—built by experts who know the stakes.
Founded by Steve O’Hanlon (former CEO of Numerix) and Ron Coleman (AI pioneer from IBM’s Big Blue and Professor Emeritus at Marist College), NERVdata is continuously enhanced by the original team that helped redefine financial analytics.
Designed for seamless adoption, NERV empowers data stewards and analysts to take control—without depending on engineering teams.
- Detects and highlights data gaps, outliers, and anomalies
- Explains how bad data is identified and repairs it transparently
- Outputs integrate directly into Microsoft BI and all major reporting tools
- Delivers real-time, auditable, and trusted data streams
Your team gets clarity, compliance, and confidence—on demand.
The output is flexible and easily integrated in Microsoft BI or any standard reporting tool.
Ultimately delivering real-time data quality control.
NERVdata Platform at a Glance
NERV Position in the Workflow Process
- Database output in NERVdata is generated in CSV, will support any standard off the shelf report generation tool.
- NERVdata does not store or download your data. It regenerates new results each time from the data found in the varied databases you have given it access to.
- During deployment business users prioritize the order and value of the data from its source.
- Business owners determine and assign the data security and access protocols required.
Accelerate Your AI Journey
Artificial intelligence (AI) and machine learning (ML) have the potential to empower financial services companies to move faster, mitigate risk, drive efficiencies and support better decision making in capital markets. Some firms have already begun their journey and are starting to experiment and test new use cases to incorporate ML techniques.
Although AI and ML has the potential to offer significant enhancement over more conventional quantitative approaches through its ability to interpolate large data sets and unique ability to improve accuracy as well as efficiency over time, there is no tried and tested blueprint for firms to accelerate their AI and ML journey. Maximizing the opportunity of AI and ML requires a strategic understanding of both machine learning theory and applications as well as an in-depth understanding of capital markets.
NERVdata is an AI-powered cloud-based, tool optimized to help capital market users capture optimal value from data.
Unlike more generic ML software, NERVdata is developed specifically to address challenges unique to capital markets. It is designed to FIND, REPAIR, and EXPLAIN your data; and can be optimized to augment that data with tested market data from disparate sources such as news, commentary, tweets, and other forms of rich media quickly, to further validate the REPAIR results. It will provide accurate qualified data that is consistent and auditable.
Meet the Founders
Founder, Author, and AI Visionary.
Steve O’Hanlon is a visionary entrepreneur and technologist with over four decades of experience scaling companies across software systems, financial analytics, and fintech. As former President and CEO of Numerix, he masterminded the firm’s transformation into a global capital markets analytics leader—culminating in its acquisition by Genstar Capital in 2023.
Under his leadership, Numerix expanded to 26 countries and earned over 100 international awards, including repeated recognition from Inc. Magazine’s 500|5000 and Deloitte’s Technology Fast 500™.
Known for building high-performance teams and driving innovation, O’Hanlon has led multiple start-ups through successful IPOs and exits—including the $110M sale of Network Express, and the growth of Banyan Systems from $3M to $150M.
Mr. O’Hanlon’s personal achievements include being named one of New York SmartCEO’s Future 50 rising stars, as well as being ranked annually on Institutional Investor’s “Tech 50” and “Trading Technology 40” Lists. Among his many personal honors was being named CEO Magazine's "CEO of the Year" in 2016 and "EY Entrepreneur of the Year" finalist in 2020.
In 2020, he donned an additional hat as Co-author of FinTech for Dummies (Wiley, 2020), in which he offers practical insight to C-level executives of Financial, Insurance, and Fortune 500 companies, who are navigating digital transformation.
Now, as founder of an AI company, he brings his passion for data-driven disruption to the forefront by harnessing emerging technologies to tackle real-world problems.
Just as importantly, he uses his experience to mentor and support the next generation of entrepreneurs—helping them scale with purpose and realize their own visions, just as he has throughout his career.
Pioneering AI Scientist, Author, and Educator.
Ron Coleman, recently honored with the title of Professor Emeritus of Computer Science at Marist College, is a pioneer in computer science, AI innovation, and a technical writer with forty years of influential work across supercomputing, financial services, academia, and entrepreneurial ventures.
He holds a BS in Computer Science from CCNY (1983) and a PhD from NYU Tandon (1990).
Coleman's early work at AT&T Bell Labs (1984–1989) introduced him to Artificial Intelligence. His interest deepened at IBM’s Supercomputing Systems Lab (1989–1993), where he served as an Advisory Engineer on the team that developed the early version of Deep Blue, the first computer to defeat a reigning world chess champion.
He spent a decade at Citigroup in senior roles—including VP in risk management technology—where he applied AI to complex financial modeling and analytics.
In 2001, he co-founded Informeta, LLC, an AI/ML startup focused on intelligent information extraction.
Since 2002, he has taught ai, game design, and software development at Marist College while pursuing research in applied machine learning and cognitive systems.
Coleman has authored over 30 peer-reviewed publications, including:
**Long Memory of Pathfinding Aesthetics and Fractal Analysis of Stealthy Pathfinding Aesthetics (2009)
**Boosting Blackjack Returns with Machine-Learned Betting Criteria (2006)
**Aesthetics vs. Readability of Source Code (2018)
**Additional papers on game-engine design and genetic algorithms in strategy games
He also holds two U.S. patents:
***US 8,341,075 (2012) for innovations in data integrity
***US 10,586,279 (2020) for prospect-notification systems
Coleman’s dual impact in academic research and patented AI systems exemplifies the power of blending deep technical insight with practical innovation—shaping the future of AI at the intersection of engineering and education.
Author, Start-up and Scale-up Veteran.
Dawn Patrick is a start-up and operational recovery strategist with over 40 years of leadership experience across high-growth technology and service organizations.
As former COO and EVP of Global Operations at Numerix, she was instrumental in scaling the company during a period of aggressive growth and acquisition, driving key milestones such as the acquisition of TFG Financial Systems, ISO compliance, and MAS certification.
She has built high-performing sales and customer service teams in pre-IPO environments and led successful turnarounds in underperforming corporate offices. Her leadership was recognized in 2018 when CEO Today named her "Business Woman of the Year," and Waters Women in Technology and Data honored her as “Support Professional of the Year.” In 2014, she received Smart CEO’s Executive Management Award for her exemplary work as COO.
Earlier in her career, Dawn Patrick served as an executive at Register.com, the first U.S. registrar accredited by ICANN, where she helped position the company during the commercialization of the internet. An entrepreneur at heart, she also founded and operated retail and manufacturing ventures in the Bay Area.
She is co-author of FinTech for Dummies (Wiley, 2020), blending operational rigor with a pragmatic, founder-focused mindset grounded in real-world experience.