One group
A consistent view across entities.
01 / 12 · Vision
A clearer future for
group treasury.
QuantumCongnify brings intercompany obligations, netting, and treasury decisions into one connected experience.
One workflow
From obligation to reviewable proposal.
Introduce the product as an early-stage treasury software concept. The current website presents the product experience for internal review, partner conversations, and pilot discovery.
02 / 12 · Problem
One business.
Disconnected money.
Multiple entities create multiple versions of the truth. Teams spend time assembling positions before they can decide what to do.
Fragmented records
Obligations spread across finance systems.
Repeated movement
Circular payments add operational work.
Slow resolution
Missing evidence delays reconciliation.
Validate the prevalence and cost of each problem during discovery. Do not claim customer interviews or quantified demand that have not occurred.
03 / 12 · Solution
Connect. Reconcile.
Net. Review.
Coordinate the entire intercompany workflow while preserving entity-level detail and human accountability.
Trusted inputs
Normalize records and expose mismatches.
Eligible netting
Calculate residual positions under approved rules.
Evidence-led review
Show assumptions, constraints, and approvals.
Netting is established. The intended differentiation is usable cross-system coordination and explainable decisions, not the invention of netting.
04 / 12 · Example
₹125 Cr of obligations.
₹20 Cr of residual payments.
A owes B ₹50 Cr. B owes C ₹30 Cr. C owes A ₹45 Cr. The eligible net result is A → B ₹5 Cr and C → B ₹15 Cr.
84%
Reduction in gross payment movement.
2 transfers
Residual direct payments in this example.
This is illustrative arithmetic, not customer traction or a cash-savings claim. Assume valid agreements, aligned due dates, one currency, and no restrictions.
05 / 12 · Intelligence
Explain the answer.
Prepare the next step.
Combine deterministic financial calculations with forecasting models and a permission-aware conversational interface.
Understand
Trace positions to source obligations.
Anticipate
Test cash timing and funding scenarios.
Control
Keep financial actions within approved limits.
The current assistant uses scripted examples. Future forecasting and AI capabilities require backend implementation and evaluation.
06 / 12 · Architecture
A connected layer.
Across existing systems.
A modular product architecture designed to work with the finance stack a group already uses.
Inputs
ERP records, bank reporting, agreements.
Core
Canonical obligations, ledger, rules, optimization.
Outputs
Proposals, approvals, evidence, reconciliation.
Begin read-only. Establish source authority, duplicate protection, and reconciliation before considering write-back or execution.
07 / 12 · Customers
Start with a focused
entity group.
The initial customer hypothesis is a multi-entity business with recurring intercompany reconciliation and settlement complexity.
Buyer
Group CFO or treasury leader.
Users
Treasury, shared services, entity finance.
Entry point
A domestic, same-currency pilot.
This is a customer hypothesis. No market size or customer count is asserted without evidence.
08 / 12 · Business
Recurring software.
Measurable value.
Proposed enterprise subscription pricing based on entity coverage and modules, supported by implementation services.
Platform
Annual subscription with a defined scope.
Implementation
Mapping, validation, and workflow setup.
Expansion
Additional entities and proven modules.
Pricing and willingness to pay remain to be validated. Avoid charging per payment when the objective is reducing payment movement.
09 / 12 · Roadmap
Earn the next stage.
Progress from a validated calculation to controlled operations, then expand into predictive treasury.
Now
Product experience, working netting, discovery.
Next
Read-only imports and reconciliation pilot.
Later
Controlled workflows, forecasting, approved integrations.
This is a proposed sequence, not a committed launch calendar. Advancement depends on data quality, implementation, and legal and operational review.
10 / 12 · Team
Founders building
the direction.
QUANTUM AI SOLUTIONS PRIVATE LIMITED · Ahmedabad, India.
Vivek Kirankumar Chaudhari
Founder / Director. Company identifies Vivek as the founder and builder of Blastr AI.
Ramilaben Kirankumar Patel
Co-founder / Director. Public directory lists the Quantum Ai Solutions directorship.
Founder roles are company-provided. The dedicated Founders page distinguishes supplied information from public-source context. Do not add unverified credentials.
11 / 12 · Validation
Prove the outcome.
Then expand.
A useful pilot begins with a historical dataset and a measurable baseline.
Accuracy
Reconcile calculated positions to agreed records.
Operations
Track exception age and resolution effort.
Economics
Measure actual funding and fee outcomes separately.
Treat website engagement as product discovery, not customer traction. Agree on acceptance criteria with a design partner before implementation.
12 / 12 · Next step
Build the first
validated pilot.
We welcome conversations with treasury design partners and prospective collaborators.
Define
Choose the entities, currency, and data sources.
Validate
Agree on controls and success measures.
Explore
Discuss implementation and commercial scope.
No funding round, investment amount, valuation, or financial return is represented. The immediate ask is a scoped pilot conversation.
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