Product Understanding · K&I WealthTech × Dalm

Three platforms.
One unified vision.

Our understanding of K&I WealthTech's product suite — built from direct conversations with your team. This document captures what we heard, what we see as the opportunity, and how Dalm proposes to bring each platform to life.

Multi-Broker Wealth Platform RIA Advisory Platform Loan Against Securities
Product 01 · Wealth Management

Multi-Family.
Multi-Broker.
One Platform.

A discretionary, multi-account execution platform for wealth managers — running black-box and white-box strategies across NSE, BSE, and MCX, with a no-code/low-code strategy builder and real-time portfolio visibility across any broker.

3+
Exchanges supported
(NSE · BSE · MCX)
What we heard

Our understanding of
the core problem you're solving.

Wealth managers today are forced to manage client portfolios across fragmented broker systems, with no unified view of positions, no ability to execute a single strategy across multiple family accounts simultaneously, and no compliant way to run discretionary algo strategies at scale. K&I WealthTech is building the infrastructure layer that makes this possible — a Platform-as-a-Service, not a Software-as-a-Service, to protect data integrity and comply with SEBI's algorithmic trading regulations.

Dalm's interpretation
This is a discretionary execution layer —
not an automated trading platform.
The platform enables wealth managers to pre-configure and execute strategies on behalf of client accounts, operating within SEBI's definition of algorithmic trading (10+ orders per second threshold). The strategy lives on the broker's server via webhook. The platform orchestrates — it does not operate autonomously. This is a critical regulatory and product distinction that shapes everything from architecture to SEBI registration.
Core feature set

What the platform does.

Execution
Multi-Account, Multi-Broker Execution
Execute a single strategy simultaneously across up to 5 client accounts from different brokers. Family account tagging with broker API vendor integration. One API key per account, routed through the platform.
Strategy
Black Box & White Box Strategies
Support for both proprietary in-house strategies (black box) and client-visible strategies (white box). Strategy hosted on broker server via webhook — pre-order confirmation before execution. Algo ID registration as required by SEBI.
No-Code / Low-Code
Strategy Builder — No Code Required
Drag-and-drop strategy builder for complex strategies without programming. Integrates with TradingView charting. Supports back-testing, paper trading, and forward testing before live deployment.
Market Data
Unified Price Data (Zerodha / Upstox)
Clients from any broker see bid/ask data from Zerodha or Upstox. NSE/BSE data is free for personal use; commercial use is charged. Platform routes data correctly per account to stay within licensing boundaries.
Compliance
SEBI Algo Registration & Vendor Compliance
Algo segmentation and vendor registration via partners (Quantman, Trintron). Static IP management per broker requirement — Trintron provides IP allocation. IP is broker-scoped and cannot be used outside that ecosystem.
Expansion
Incremental Feature Rollout
Strip-down (MVP) version first, then full version with progressive feature unlocks. MCX exchange integration in Phase 2. Crypto platform interest from Dubai as an expansion opportunity beyond India.
Family & multi-account architecture

How family execution
works on the platform.

1
Family Group Setup
Wealth manager creates a family group. Broker API keys linked per member account. Family tagging via broker vendor API.
2
Strategy Selection
Manager selects or builds a strategy (black/white box). TradingView / charting integration for signal generation.
3
Pre-Order Confirmation
Pre-order shown to manager before execution. Market orders via API are banned — limit/SL orders only per SEBI rules.
4
Webhook Trigger
Strategy trigger sent to broker-hosted server via webhook. Algo ID registered and validated before execution fires.
5
Multi-Account Execute
Up to 5 accounts execute simultaneously. Positions visible in unified dashboard. P&L tracked per account and family group.
Infrastructure note

The static IP challenge
and our proposed approach.

Each broker requires a static IP for API access. The current constraint: IPs from AWS are limited; K&I WealthTech is primarily on DigitalOcean. Trintron provides IP pools. The platform needs an auto-assignment mechanism where each broker connection gets a dedicated, broker-scoped IP that cannot be used outside that broker ecosystem. Dalm will evaluate static IP options across AWS, DigitalOcean, and Trintron and present a recommendation.

ComponentTechnology / ApproachNotes
Cloud infrastructurePrimarily DigitalOcean, AWS where neededStatic IP assignment per broker — Trintron pool integration
Charting & signalsTradingView / charting.comStrategy triggers via webhook to broker-hosted server
Algo vendor registrationQuantman, TrintronSEBI algo ID compliance required before live trading
Market dataZerodha / Upstox feedsNSE/BSE free for personal use; commercial licensing applies
Order typesLimit / SL orders onlyMarket orders via API are banned per SEBI regulations
PaaS modelPlatform-as-a-Service (not SaaS)Data stays within platform boundary — SaaS creates data risk
Pricing₹12,000/month base, ₹18,000/month with IPMonthly AMC on PaaS basis
Dalm's proposed contribution to this product
CTO Office
Architecture review of broker API integration, static IP strategy, PaaS boundary design, and SEBI algo compliance infrastructure. Will evaluate Trintron, DigitalOcean, and AWS IP options and present recommendation within sprint one.
Fintech PM
Product roadmap from strip-down MVP to full feature set. Define the no-code strategy builder UX, family tagging flows, and pre-order confirmation experience. Revenue model structuring (development cost vs. team cost analysis).
AI/ML Engineer
In-house strategy models, back-testing engine, and performance analytics. AI-assisted strategy recommendations for wealth managers based on historical execution patterns. Anomaly detection on execution flows.
Product 02 · RIA Platform

Registered Investment
Advisor.
Reimagined.

An end-to-end advisory generation platform for SEBI-registered investment advisors — combining ECAS statement analytics, AI-powered product recommendations, and a compliant client onboarding and consent workflow.

12–18
Month build horizon
for full platform
What we heard

The problem every
wealth manager knows.

Portfolio analysis for wealth managers and mutual fund distributors takes an enormous amount of time today — pulling data from multiple sources, reconciling positions, generating recommendations manually. K&I WealthTech is solving this by making the ECAS statement (the consolidated account statement from NSDL/CDSL) the single source of truth, and building an AI advisory engine on top of it. The result: advisors spend time advising, not aggregating.

Dalm's interpretation
This is an advisory generation engine —
not a robo-advisor.
The platform surfaces AI-generated recommendations that reflect each advisor's stated investment philosophy and demonstrated historical style — it amplifies the advisor's judgment rather than replacing it. Two distinct advisory modes: "Stated Style" (the advisor defines their philosophy explicitly) and "Demonstrated Style" (the AI learns from their historical recommendations). This human-in-the-loop design is critical for SEBI's investment advisory regulations.
Core feature set

What the RIA platform does.

Client Onboarding
Consent-Driven Data Access
Client receives a consent email, approves data sharing, and uploads their ECAS report. Video KYC integration being evaluated. Platform ingests the ECAS statement and immediately surfaces portfolio analytics — positions, allocations, returns — without any manual data entry by the advisor.
Analytics
ECAS-Powered Portfolio Analysis
The ECAS statement becomes the single portfolio source of truth. Platform runs analysis in seconds — what used to take advisors hours. Asset allocation breakdown, performance attribution, drift from target allocation, and tax-loss harvesting opportunities all surfaced automatically.
AI Advisory
Advisory Generation — Stated & Demonstrated Style
Two advisory modes: "Stated Style" — advisor defines their investment philosophy, and the AI generates recommendations consistent with it. "Demonstrated Style" — AI learns from the advisor's historical recommendations to generate aligned future suggestions. All recommendations are advisory only; execution requires advisor approval.
Product Marketplace
Third-Party Product Listings (IRS)
A curated marketplace of third-party financial products — mutual funds, insurance, PMS — listed on the platform. Advisors suggest products from the marketplace to clients. Products carry commission; platform earns revenue on conversion. NBFC integration for credit products.
Subscription
Credit-Based Client Onboarding
Client subscribes to the platform and receives credits. Credits are consumed as the advisor uses platform capabilities on their behalf — analytics runs, recommendation generation, product suggestions. This usage-based model aligns platform revenue with advisor activity.
Compliance
SEBI RIA Compliance Layer
Full audit trail of all recommendations, consents, and client interactions. Advisor disclosure management. All advisory content flagged as generated recommendations — not execution instructions. Regulatory reporting support for SEBI RIA quarterly submissions.
Client journey

From consent to
advice in minutes.

1
Consent Email
Advisor sends consent request. Client approves data sharing — SEBI-compliant consent workflow.
2
ECAS Upload
Client uploads ECAS report from NSDL/CDSL. Platform parses and structures portfolio data instantly.
3
AI Analysis
Portfolio analytics generated. Holdings, allocation, performance, drift — all surfaced in seconds.
4
Advisory Generation
AI generates recommendations in the advisor's stated or demonstrated style. Advisor reviews and approves.
5
Product Suggestion
Advisor selects relevant products from the marketplace. Client receives structured recommendation with full disclosure.
Users on this platform

Who uses the
RIA platform and how.

Dalm's proposed contribution to this product
AI/ML Engineer
Build the advisory generation engine — ECAS parsing, portfolio analytics, and the two advisory style models (stated and demonstrated). NLP layer for ECAS data extraction. Recommendation scoring and explainability for SEBI compliance.
Fintech PM
Design the consent workflow, ECAS upload experience, and advisory review UX. Define the credit-based subscription model and product marketplace information architecture. SEBI RIA compliance checklist ownership.
CTO Office
Architecture for ECAS data ingestion, NBFC and third-party product API integrations, and the data consent and audit trail infrastructure. Video KYC integration evaluation. All data flows compliant with SEBI, DPDPA, and RBI data localisation requirements.
Product 03 · LAS Platform

Loan Against
Securities.
Self-serve.

A digital LAS marketplace — modelled on the Paisabazaar and PolicyBazaar aggregator model — where clients discover their loan eligibility based on their securities portfolio, compare lending options, and access credit without liquidating investments.

PaaS
Delivery model
with NBFC integration
What we heard

Unlocking liquidity
without selling.

Wealth management clients frequently need liquidity but don't want to liquidate well-performing holdings. LAS allows them to pledge their securities portfolio as collateral and draw a credit line — without selling. The K&I WealthTech LAS platform sits at the intersection of wealth management and credit: the client's portfolio (already on the platform via ECAS) is used to determine loan eligibility, and credits are made available for the client to draw against. The platform connects clients to NBFC lenders who provide the actual credit.

Dalm's interpretation
This is a marketplace aggregator model —
K&I WealthTech does not lend.
K&I WealthTech connects clients to NBFC lenders who provide the credit. The platform determines eligibility based on the pledged portfolio, surfaces loan options from multiple NBFCs, and manages the credit allocation workflow. Revenue comes from a referral or distribution fee from the NBFC partner — similar to the Paisabazaar model. This means the platform does not require an NBFC licence itself, but must comply with SEBI's guidelines on securities pledging and RBI's digital lending regulations for digital lending service providers (LSP).
Core feature set

What the LAS platform does.

Eligibility
Portfolio-Based Loan Eligibility Calculator
Client's securities portfolio (from ECAS or broker API) is analysed to determine LAS eligibility. Each security has an LTV (Loan-to-Value) ratio set by the lender. Platform calculates maximum loan amount, applicable haircuts, and eligible vs. ineligible securities in the client's portfolio.
Pledging
Digital Securities Pledging Workflow
Client selects which securities to pledge. Platform generates and routes pledge request through CDSL/NSDL DIS (Delivery Instruction Slip) digital workflow. Confirmation and agreement sent to client. Entire pledging process is digital — no physical paperwork.
Credit
NBFC Credit Line Allocation
Once pledge is confirmed, NBFC partner approves and disburses the credit line. Client receives a credit limit they can draw against — partially or fully. Platform integrates with multiple NBFCs to offer competitive rates. Interest charged only on the amount drawn.
Marketplace
Multi-NBFC Comparison (Paisabazaar Model)
Platform surfaces loan offers from multiple NBFC partners simultaneously. Client compares interest rates, LTV ratios, processing fees, and repayment terms. Similar to how Paisabazaar aggregates personal loan offers — but for securities-backed credit. K&I WealthTech earns referral commission on disbursement.
Integration
Wealth Platform Integration
LAS integrates directly with the RIA platform — a wealth manager advising on a client's portfolio can surface an LAS option within the same interface when the client needs liquidity. The credit issued becomes a "credit" on the wealth platform that can be used for product purchases. Cross-platform upsell built in.
Monitoring
Margin & Portfolio Monitoring
Real-time monitoring of pledged securities' market value. Automated margin call alerts when portfolio value drops below minimum threshold. Client and advisor notified simultaneously. Option to top up pledge or repay partial loan to restore LTV compliance. SEBI reporting on pledging activity.
End-to-end flow

From portfolio to
credit in days.

1
Portfolio Upload
Client shares portfolio via ECAS or broker API. Platform calculates LAS eligibility immediately.
2
NBFC Offers
Multiple NBFC offers surfaced. Client compares rates, LTV, and fees. Selects preferred lender.
3
KYC & Consent
Video KYC completed. Client signs digital consent and loan agreement. SEBI-compliant pledge authorisation.
4
Digital Pledge
Securities pledged digitally via CDSL/NSDL. No physical DIS needed. Pledge confirmed in 24–48 hours.
5
Credit Disbursed
NBFC disburses credit line. Client draws as needed. Ongoing margin monitoring with automated alerts.
Regulatory & compliance architecture

Building LAS right
in a regulated market.

RequirementRegulationApproach
Securities pledgingSEBI LODR / Depositories ActDigital pledge via CDSL/NSDL depository participant workflow. No offline DIS.
Digital lending rulesRBI Digital Lending Guidelines 2022K&I operates as a Loan Service Provider (LSP). All disbursements directly from NBFC — never via platform escrow.
KYC requirementsPMLA / RBI KYC Master DirectionVideo KYC integration. KYC data stored in secure vault — not accessible outside compliance workflow.
Interest rate disclosureRBI Fair Practices CodeAPR, processing fees, and all charges disclosed upfront before client selection. MITC (Most Important Terms & Conditions) mandatory.
Margin call processSEBI Circular on pledge marginAutomated monitoring. Client and advisor notified at 80% and 90% of margin threshold. Clear escalation to NBFC.
Data localisationRBI data localisation circularAll financial data stored on India-region cloud infrastructure (AWS Mumbai ap-south-1).
Dalm's proposed contribution to this product
Fintech PM
End-to-end product design of the LAS eligibility calculator, NBFC comparison flow, pledging UX, and margin monitoring dashboard. Define the LSP business model and commission structure. Revenue model: referral fee from NBFC on disbursement, subscription access for advisors.
CTO Office
Architecture for NBFC API integrations, CDSL/NSDL depository connectivity for digital pledging, and the margin monitoring engine. Video KYC vendor evaluation. Ensure all flows comply with RBI Digital Lending Guidelines 2022 — particularly direct disbursement from NBFC to borrower.
AI/ML Engineer
Portfolio eligibility scoring model — analysing which securities are lendable, at what LTV ratios, and how portfolio composition affects total credit availability. Predictive margin call model — alerting clients before they breach threshold based on portfolio volatility patterns.