About FutureFunding™
India's first AI-native quantitative research lab built for trust and discipline
FutureFunding is a technology platform for structured evaluation and quantitative research. We help serious Indian participants demonstrate consistency, risk awareness, and process, with clear rules and measurable progress. We want participants to succeed, because sustainable performance is how the program scales.
Get startedIn Indian technology, trust comes before growth
A simulated environment
Evaluations run in a fully simulated research environment. Orders are not placed on NSE or BSE during the assessment.
Not a broker or advisor
FutureFunding is a technology platform, not a stock broker, portfolio manager, or investment advisor. We do not solicit public capital.
Rules over promises
Program access, evaluation, and performance stipends are governed entirely by our published terms, not informal assurances.
Who we are
We are quantitative researchers, operators, and engineers who care about structure. FutureFunding exists to give skilled participants a fair, transparent path to demonstrate discipline, without the noise that often surrounds online evaluation programs.
What we enable
A rules-based evaluation environment, analytics that reward process over luck, and support that treats you like a professional. When you meet the criteria we publish, you become eligible for a Pro Account and performance-linked stipends, always on documented terms.
The product journey
Built by one founder, in public, one release at a time.
2025
Built solo
Nights and weekends, for almost a year, before FutureFunding had a single user.
Nov 2025
Early adopters
The first participants started using the platform.
Mar 2026
Beta live
FutureFunding opened to the public in beta.
Today
Currentv1.9
Built in public, one release at a time.
How we think about trust
No surprises. Read the full legal pages for detail; this is the plain-language summary we want every participant to understand first.
Registered company, clear identity
FutureFunding is operated with a verifiable legal entity so partners and participants know who stands behind the platform.
44 KRISHVERSE SOLUTIONS PRIVATE LIMITED
CIN: U62099UP2025PTC237116
- Evaluations run in a fully simulated, controlled research environment; orders are not placed on NSE or BSE as part of the assessment experience.
- FutureFunding is a technology platform, not a broker, investment advisor, or portfolio manager.
- We do not solicit capital from the public. Pro Account access provided to qualified participants is governed entirely by our program terms.
- Identity verification and grant eligibility follow our documented onboarding and compliance checks (e.g. PAN, valid ID, verified bank details where applicable).
People

Anuvesh
Founder, CEO
I build systems that read behaviour and return something useful about it.
At Ola I worked on credit risk and fraud detection: machine learning models for underwriting and real-time anomaly detection on BNPL products, alongside predictive modelling for Ola Electric's battery health. The problem there was scoring risk from behavioural signals, in production, fast enough to matter.
At Synopsys I spent three and a half years in R&D. I worked on reinforcement learning for design-space exploration, contributed to the DARPA-funded AISS program automating secure SoC implementation, and integrated Delphi (a centralised optimisation framework) into Platform Architect, cutting work that took two months down to hours. Chip design teaches a specific discipline: correctness under constraint, systems that hold up when the inputs are hostile, performance measured rather than assumed.
Alongside all of it, I traded. Four years in global markets through prop firms, mostly badly at first. I lost capital not to a bad strategy but to the absence of rules: no sizing discipline, no daily limit, no definition of a bad day before I was already having one. What eventually worked was the opposite of cleverness: treating the drawdowns as the only rule that existed.
I realised I had been solving the same problem at work for years. Scoring risk from behaviour. Optimising under constraints. Building a centralised system that learns across many cases and returns a decision. So I left Synopsys in July 2026 to build FutureFunding full-time.
FutureFunding is an AI-native evaluation platform, with a risk intelligence layer underneath. We build customised evaluation environments for our users, and the algorithms beneath them read behavioural and psychological dynamics (sizing discipline, drawdown response, revenge-trade patterns, consistency under pressure), surfacing them as risk health and skill scores.
We build customer-centric solutions across the trading technology stack, spanning risk engines, behavioural intelligence, quantitative models, and predictive algorithms. Our systems are designed to adapt to different participant requirements, combining data, technology, and intelligence to support better decision-making, optimise risk management, and enhance trading outcomes.
NISM certified (Series VIII, Equity Derivatives). Instrumentation & Control Engineering, NSIT Delhi.
Connect on LinkedIn
Values in one glance
01
Discipline
Risk rules and consistency matter more than one-off wins. We design the product around that truth.
02
Innovation
Analytics, dashboards, and automation should make your process visible, not replace it.
03
Community
Participants grow faster with clear communication and a team that responds when it counts.
Ready to begin?
Start your evaluation
Choose a program, read the rules, and begin when you are ready. We are here if you have questions.




