A young couple and an older man shake hands over a property deal in a bright room above a rainy street, while a hand in the foreground holds a phone showing the NIRS score for 3B, 4th Main, Sector 2, HSR Layout
PLATFORM & SYSTEMS DESIGNProduct Management & StrategyInnovation & R&DProduct Design & Prototyping

NIRS — a location and forward-risk rating system for Indian property, with the confidence of every score published

WHAT IT IS
NIRS scores the location of an Indian address — access, environment and hazard, services, and trajectory — on a 0–100 scale, re-weighted across three intent profiles, and publishes the confidence of every output. The system refuses to score below 0.55 confidence. The plan breaks even in Year 4 on ₹16.0 crore of peak capital.
VALIDATED
Research settled three things. Lenders already spend ₹5,000–25,000 a file on legal and technical verification 1, across 3.64 million annualised home-loan originations 2. Location accessibility leads affordable-housing dissatisfaction at 92%, ahead of build quality 3. And the paperwork is already rated by funded companies at ₹1,999 8 and at ₹99 9, with valuation given away free 13.
NEXT
Gate 1 tests lawful, repeatable access to Karnataka land records on 1,000 random e-Khata addresses, at near-zero cost in Week 1. A blind valuer panel follows at months three to five for ₹12–15 lakh.

All cost, margin, acquisition-cost, revenue, capital and volume figures are modelled estimates from the project's financial model, built on externally sourced benchmarks and pending the validation gates. Product images are renders of a specified interface, not photographs of a running system.

THE OPPORTUNITY

01Product Overview: A 0–100 Location Score for the Two Buyers Who Transact Blind

NIRS returns a 0–100 location score for a Bengaluru address, weighted by whether the buyer intends to live, trade or build, with the confidence of the answer printed on the answer.

Four dimensions carry the score — access, environment and hazard, services, and trajectory — re-weighted across three intent profiles, and the system refuses to score below 0.55 confidence. The rubric, data model, API contracts, screen inventory and financial model are specified.

Two buyers anchor the release. The Bengaluru resale buyer receives none of the RERA protection a primary-market buyer gets. The housing finance company underwriting that purchase spends ₹5,000–25,000 a file on legal and technical verification 1, and gets no view on whether the road floods or the funded metro line is real.

A hand holding a phone on a tree-lined Bengaluru street, the screen showing the NIRS score for Indiranagar at 87 with a confidence label beneath it

02The Problem: 92% of Dissatisfied Buyers Name Location, Ahead of Build Quality

An Indian buyer can establish whether the title is clean but not whether the location holds up, and poor accessibility draws 92% of complaints against 90% for construction quality 3.

ANAROCK's survey of 8,250 respondents across 14 cities puts poor accessibility at 92% and build quality at 90% 3. The dissatisfaction is retrospective: buyers regret the location after ownership rather than screening for it before.

Three changes make the problem addressable now. Records of Rights are computerised at 95.09% but geo-referenced at only 49.10% 5. ULPIN reaches about 30% of 28.72 crore parcels and covers rural land only, leaving urban property without an identifier 6. And the adjacent answer collapsed from a ₹5,000–20,000 lawyer's title search to an automated rating at ₹1,999 8.

The state grants presumptive title only, which places the onus of checking on the buyer 7. The title question now has four products. The location question has none.

03Hypothesis Pivot: I Killed the Legal-Rating Thesis After Finding Three Funded Competitors Already In It

I rejected the inherited five-dimension score led by legal and title after evidence review found three funded companies already selling a property rating and driving its price toward ₹99.

The inherited thesis rested on three beliefs: that nobody produced a standardised property score, that a hashed property identifier was defensible intellectual property, and that a ₹999 report could be acquired at ₹31. Each was tested against published evidence and each failed.

LegiScore rates legal risk across 14 states and 700+ courts at ₹1,999 8. Landeed retrieves documents across 20+ states on a US$8.3M seed round 12. Propil scores at ₹99 9. MagicBricks gives valuation away 13.

I excluded the legal dimension, the price estimate and paid consumer acquisition, accepting the loss of 25 of the rubric's 100 points and of every channel that scales with spend. The product moved onto the one question nobody sells — whether the location is a good place to own — which changed the customer, the price and the capital plan.

04Market Position: The Lender Due-Diligence Pool Is ₹1,820–9,100 crore a Year

The right market is due-diligence spend already flowing rather than asset value, and the whole nine-metro consumer pool reaches ₹81.6 crore even at full attach.

₹1,820–9,100 crore

LENDER DUE-DILIGENCE POOL

3.64 million annualised originations 2, each verified at ₹5,000–25,000 1

₹81.6 crore

CONSUMER POOL AT FULL ATTACH

545,000 registrations across nine metros in 2025 4; ₹8.2 crore at a tenth attach and ₹20.4 crore at a quarter

111.52×

LENDER POOL AGAINST CONSUMER

The top of the lender band against the consumer pool at full attach 21

US$650 billion

ASSET VALUE, THE WRONG DENOMINATOR

India's real-estate market at 7.3% of GDP 10, the base the predecessor sizing used

Lender verification spend is 111.52× the consumer pool at full attach

₹1 crore₹10 crore₹100 crore₹1,000 crore₹10,000 croreLENDER FILE VERIFICATION₹1,820–9,100 croreCONSUMER REPORTS, 10–100% ATTACH₹8.2 crore to ₹81.6 crore
EXHIBIT 1Annual spend a location rating can share, on a log axis. Lender file verification runs to ₹1,820–9,100 crore across 3.64 million originations 2. Consumer reports reach ₹8.2 crore at a tenth attach and ₹81.6 crore at full attach of 545,000 metro registrations 4.[21]

05Competitive Landscape: Four Products Price the Paperwork and None Scores the Location

Every funded entrant answers the same question — is the paperwork clean — and drives its price toward ₹99, which leaves the location layer unoccupied.

PLAYER

LegiScore 8

WHAT IT OWNS
Legal rating across 14 states and 700+ courts at ₹1,999, with lender integration
WHAT IT LACKS
Any location, hazard or trajectory signal

Landeed 12

WHAT IT OWNS
Document retrieval across 20+ states and a Fetch API, on a US$8.3M seed round
WHAT IT LACKS
Judgement — it fetches documents, it does not assess them

Propil 9

WHAT IT OWNS
A ₹99 anchor across 16 data points
WHAT IT LACKS
Depth — a screen, not a report

MagicBricks PropWorth 13

WHAT IT OWNS
Free valuation across 30 cities and 5,500 localities
WHAT IT LACKS
Legal, hazard and infrastructure

The substitutes matter more than the rivals, because the market leader is doing nothing: most buyers visit twice and decide.

Legal scoring is a low barrier that three firms cleared in under three years. Geo-referenced location scoring is a high one. It needs cadastral geometry where only 49.10% of villages are geo-referenced 5, and ground-truth labels bought from valuers one property at a time.

The gap stays open because occupying it costs each incumbent its own asset: it dilutes Landeed's breadth, sits outside LegiScore's legal buyers, and damages MagicBricks' inventory.

The price of an answer about a property fell from ₹5,000–20,000 to ₹99

₹0₹5,000₹10,000₹15,000₹20,000₹25,000MANUAL TITLE SEARCH₹5,000–20,000AUTOMATED LEGAL RATING₹1,999 · LegiScoreNIRS LOCATION SCORE₹499 · specifiedDOCUMENT SCORE₹99 · PropilFREE VALUATIONFree · MagicBricks PropWorth
EXHIBIT 2The price of an answer about an Indian property. A manual title search cost ₹5,000–20,000 8. Three automated ratings now sell at free 13, ₹99 9 and ₹1,999, with the NIRS location score specified at ₹499.[21]

06Strategic Bet: I Sold the One Layer Nobody Owns and Bought or Refused Everything Else

NIRS sells location and forward risk, buys the legal check wholesale and refuses to estimate price, because a location assessment shifts over time and so becomes a subscription rather than a one-time report.

I excluded four things. Title retrieval, because Landeed sells it as an API 12. Legal scoring, because its price is collapsing toward ₹99 9. Price estimation, given away by PropWorth 13 and beyond the 7.5% off-market error Zillow publishes on its own estimate 14. And plot-level air quality, because 401 continuous stations across 209 cities 19 make a parcel-level reading a fabrication.

I killed the legal dimension, worth 25 of 100 points, accepting the loss of the one dimension lenders already buy. A legal answer is needed once. A location assessment shifts as a metro line is funded or a lake encroached, which makes it a data asset rather than a transaction.

I chose the affordable-housing finance company as the first customer, accepting a slower sale than a consumer app would give, because it underwrites location risk worst today and can approve a ₹200 layer without a board paper.

A phone home screen with the NIRS app icon and a notification reading that Indiranagar moved up two points this month

THE PRODUCT

07Product Specification: One Question, Answered in 90 Seconds, With a Published Refusal

Every signal carries its own provenance, as-of date and confidence, and the score's confidence is the minimum of the resolution confidence and the weighted-dimension confidences.

The sequence runs from a locality page built to be found in search, to one address field, to a resolution screen showing what was matched and how confident the match is. Intent — live, trade or build — is chosen before the score, because a warehouse and a family home do not want the same street.

Refusal is a property of the architecture rather than an error state. Below 0.55 confidence the system returns no score, because roughly a third of stock lacks a usable formal record. Air quality is reported at station-catchment resolution and never interpolated to the parcel, on 401 stations serving 209 cities 19.

The inventory runs to 22 screens at 6 required states each, over 25 signals in 4 dimensions and 3 intent profiles, with the weights verified to sum to 100.

A methodology screen titled How the score is built: five weighted input factors feeding a weighting model that returns a score from 0 to 100, beside panels for sub-score weights, a confidence band and a scatter plot of model score against a reference index
EXHIBIT 3How the score is built: five weighted factors feed a weighting model, which returns a 0–100 score with a published confidence band. The factor set shown is an earlier interface study and predates the 25-signal rubric across 4 dimensions; the agreement plot shows the form the Gate 2 read-out takes, on no scored property.[21]

08Technical Validation: A Blind Valuer Panel at Pearson r of 0.60 Decides the Product

200 Bengaluru properties, 5 chartered valuers rating location blind, ₹12–15 lakh over 8 weeks, with every threshold fixed before any data is collected.

CORRELATION

r ≥ 0.75

WHAT IT MEANS
The score tracks expert judgement closely
WHAT HAPPENS
Launch, with the panel's ratings carried as training labels

0.60 to 0.75

WHAT IT MEANS
The score carries signal at wider error
WHAT HAPPENS
Launch, with the published confidence bands widened

0.45 to 0.60

WHAT IT MEANS
Signal is present but too weak to price
WHAT HAPPENS
Building continues; selling halts until it clears 0.60

r < 0.45

WHAT IT MEANS
Location is not scorable by this rubric
WHAT HAPPENS
Stop the product

Whether a location can be scored well enough to matter is the central question of the venture, and the panel is the instrument. 5 RICS-chartered or IBBI-registered valuers rate 200 Bengaluru properties on location alone, blind to the score, at months three to five.

Two conditions make it a real test: the panel is blind, and the stop threshold was written before any data was collected. The earlier internal pass of 47 of 47 checks confirmed one thing only — that the rubric weights sum to 100.

The band between 0.45 and 0.60 is the expensive one, because it licenses further build but not a sale. It is written into the table above so that a mid-range result cannot be argued into a launch.

THE BUSINESS CASE

09Cost to Serve: 88.37% on a ₹499 Report, and the Consumer Still Never Funds the Company

A ₹499 report costs ₹58.01 to serve, yet the most NIRS can afford to pay for a consumer is ₹309, while one lender API call at ₹200 repays its whole sales cost in 2.0 months.

COST LINE ON A ₹499 STANDARD REPORT

Payment gateway at 2.36% 15

AMOUNT
₹11.78

LLM narrative 16

AMOUNT
₹16.25

Data, support, refunds and compute

AMOUNT
₹29.98

Total cost to serve

AMOUNT
₹58.01

Contribution

AMOUNT
₹440.99

The margin is healthy and beside the point. A consumer lifetime value of ₹1,015 sets the maximum affordable acquisition cost at ₹309, on a 15% lead-to-paid rate and 1.94 purchases a buyer — the two inputs Gate 3 measures.

Enterprise inverts it. One lender at 40,000 calls a year pays ₹80 lakh at ₹200 a call, which is what 16,000 consumer reports bring in, and it repays its ₹13.5 lakh sales cost in 2.0 months.

Rebuilt bottom-up, the disciplined plan breaks even in Year 4 on ₹16.0 crore of peak capital, against ₹41.4 crore in the base case and the ₹72 crore and ₹147 crore the two predecessor plans proposed. The ₹5.75 crore seed sits inside the published ₹3–8 crore band 18, and base becomes disciplined on two decisions: headcount held to 47, and the API priced at ₹200 rather than ₹120.

Peak capital falls from ₹147 crore to ₹16.0 crore

  • Disciplined plan
  • Other scenarios
  • Predecessor plans
₹0 crore₹50 crore₹100 crore₹150 crore₹200 crorePREDECESSOR PLAN 2₹147.0 crorePREDECESSOR PLAN 1₹72.0 croreBASE CASE₹41.4 croreBEAR CASE₹36.9 croreDISCIPLINED PLAN₹16.0 croreBULL CASE₹11.5 crore
EXHIBIT 4Peak capital the plan draws before it turns: ₹11.5 crore in the bull case, ₹16.0 crore on the disciplined plan, ₹36.9 crore in the bear case and ₹41.4 crore in the base case, against the ₹72 crore and ₹147 crore the two predecessor plans proposed.[21]

10Success Metrics: Confident Coverage Reaches 65% by Month Twelve or Distribution Cannot Rescue It

Volume can be bought with a discount and coverage cannot, so the decisive number is queries resolved at 0.70 confidence or higher and scored within tolerance of an independent assessment.

45%

CONFIDENT COVERAGE, MONTH SIX

Queries resolved at 0.70 confidence and scored within tolerance 21

65%

CONFIDENT COVERAGE, MONTH TWELVE

At two in three Bengaluru addresses the rest is distribution; at two in five no distribution rescues it

0.60

VALUER CORRELATION FLOOR

Below it selling halts, whatever coverage or volume reads

8%

REFUND-RATE CEILING

Above it the product is over-promising; refusal rate is read against coverage so a loosened threshold shows

11Evidence to Date: The Spend and the Price Ladder Hold; Prospective Demand Is the Open Test

Three claims rest on external data. The fourth — whether a buyer pays for a location assessment before the purchase rather than regretting it after — is what Gate 3 measures.

  • EVIDENCED

    Lenders spend ₹5,000–25,000 a file on legal and technical verification

    Published lender guidance 1, across 3.64 million annualised originations 2

  • EVIDENCED

    Buyers pay between ₹99 and ₹1,999 for an automated property rating

    Published pricing from LegiScore 8 and from Propil 9

  • EVIDENCED

    Location accessibility leads affordable-housing dissatisfaction at 92%

    ANAROCK survey, 8,250 respondents across 14 cities 3

  • UNTESTED

    A buyer pays for a location assessment before the purchase rather than regretting it after

    Gate 3 — a 300-user live landing test at ₹499, ₹3 lakh across months four to six

12Adoption Path: Paid Acquisition Runs 17–43× Over the Ceiling, Leaving the Slowest Channel

A real-estate lead costs ₹800–2,000 on Google Ads 17, which puts consumer acquisition at ₹5,333–13,333 against a ₹309 ceiling and eliminates every paid channel permanently.

That is a concluded result rather than an optimisation problem. What remains is programmatic locality search: one page a locality, built from data NIRS already holds, written against the questions buyers type.

The economics compound slowly. Organic acquisition costs ₹45 lakh in Year 2 to win 3,409 users at a loss, and cost a user falls to ₹338 by Year 4 — 3.00× against the 3.0× gate, and still ₹29 above the ₹309 the model can afford.

Enterprise acquisition repays in 2.0 months, so consumer spend is hard-coupled to enterprise progress rather than treated as free: SEO spend stays under ₹45 lakh a year until one enterprise pilot is signed.

The NIRS web app showing a choropleth map of scored Bengaluru localities with a hover card on Koramangala, beside a detail panel carrying its score, sub-scores and a six-month trend

Organic acquisition clears the 3.0× gate in Year 4; paid never does

0×1×2×3×4×5×3.0× LTV:CAC GATE0.77×ORGANIC, YEAR 21.75×ORGANIC, YEAR 33.00×ORGANIC, YEAR 44.32×ORGANIC, YEAR 50.08–0.19×PAID, ANY YEAR
EXHIBIT 5Lifetime value against acquisition cost, by channel and year. Organic reaches 0.77× in Year 2, 1.75× in Year 3, 3.00× in Year 4 and 4.32× in Year 5. Paid sits at 0.08–0.19× in any year, on a ₹800–2,000 cost a lead 17.[21]

13Risk Gates: Three Thresholds, Each Dated and Written Before Its Test

The cheapest test gates the most expensive commitment: Gate 1 costs near nothing in Week 1 and decides whether the product is viable as specified.

RISK

Data access

GATE THRESHOLD
Written eligibility to consume Karnataka land records, or retrieval under ₹150 a property
CONSEQUENCE
Pass: build. Fail: re-scope to a ward-level product, or stop
SCOPE AND TIMELINE
1,000 random e-Khata addresses, Week 1 to month two

Willingness to pay

GATE THRESHOLD
Paid conversion at 10% or above at ₹499
CONSEQUENCE
Pass: keep the consumer tier. Below 6% with no enterprise pilot: cut it to a free B2B lead surface, removing ₹13.5 crore of Year-5 revenue and moving break-even to Year 5
SCOPE AND TIMELINE
300-user live landing test, months four to six

Consumer losses

GATE THRESHOLD
One signed enterprise pilot unlocks SEO spend above ₹45 lakh a year
CONSEQUENCE
Held: peak capital falls from ₹41.4 crore to ₹16.0 crore. Breached: a loss-making consumer channel funds with no counterweight
SCOPE AND TIMELINE
Continuous covenant on the plan, from month nine

Two standing mitigations sit alongside the gates. DPDP exposure, with penalties reaching ₹250 crore 20, is met by storing owner data drawn from public records only.

Score liability is met by positioning NIRS as a data reference with a published refusal state, never as a valuation.

14Scale Trajectory: Year 5 Puts a Location Assessment on 24.73% of Home-Loan Originations

On the disciplined plan's own growth math, Year 5 delivers 180,000 consumer reports and 900,000 enterprise API calls against 3.64 million annualised originations 2.

Cumulatively across five years that is 322,000 reports for 170,000 distinct buyers and 1.9 million loan files — a meaningful start, not a national standard.

Concretely it changes one decision. A flat that showed well on a dry afternoon scores 54 at 0.78 confidence and flags 2 waterlogging events within 400 m, so the buyer negotiates the price down and insures before moving in.

Three adjacencies become reachable and none of them is in the plan: location as a priced input to credit, once a lender holds 200,000 scored files with repayment performance attached; property insurance that prices the ground at parcel resolution, the input the title-insurance market never had 11; and a geo-referenced urban parcel registry beside a rural-only ULPIN 6.

THE OUTCOME

15What This Unlocked: The Cheapest Test Now Gates the Most Expensive Commitment

I resequenced the work so Gate 1, lawful data access, runs in Week 1 before any raise, and a published confidence band is treated as a product feature rather than a disclaimer.

The correction came from one error. A 70-signal rubric and a 7-layer architecture were designed for a category three funded companies already occupied, which four minutes of research would have surfaced. The same answer in month fourteen kills a company; in Week 1 it re-scopes a plan.

The second output is a standard of evidence. 21 unsourced claims were removed and recorded across 8 superseding decisions, and every one of them was vague in the same way — its roundness was the tell. The replacements are checkable.

In a market where the price of an answer is falling toward ₹99, the durable difference is not a better number. It is the willingness to state how much is known, and where the product will not answer.

A printed NIRS locality report and a Bengaluru locality map laid on a desk beside glasses, a pen and a cup of coffee

16Build Pack: Six Artifacts Complete, Four Gated Tests Advancing Next

The rubric, data model, API contracts, screen inventory and financial model are specified and internally verified, and the next four steps convert specification into evidence.

ARTIFACT

Scoring rubric

STATE
25 signals, 4 dimensions and 3 intent profiles, with weights verified to sum to 100

Data model and schema

STATE
Bitemporal and point-in-time correct; refusals stored as first-class records

API contracts

STATE
resolve, score and report, plus a public source-status endpoint

Screen and state inventory

STATE
22 screens at 6 required states each

Financial model

STATE
Four scenarios, 24 independent checks, zero mismatches

Decision and removed-claims log

STATE
8 superseding decisions; 21 unsourced claims removed and recorded

ADVANCING NEXT

Gate 1 — Karnataka land-records access

WHAT IT UNLOCKS
Whether the product is viable as specified
COST
Near zero, Week 1

Geo-referencing coverage sample

WHAT IT UNLOCKS
Whether Confident Coverage can reach 45%
COST
₹2–4 lakh, weeks two to six

Gate 2 — blind valuer panel

WHAT IT UNLOCKS
Whether the score carries signal
COST
₹12–15 lakh, months three to five

Gate 3 — paid landing test

WHAT IT UNLOCKS
Whether consumers pay before the purchase
COST
₹3 lakh, months four to six

SOURCES

  1. [1]Finnable — legal and technical verification at ₹5,000–25,000 a home loan in metro markets. Sourced. https://www.finnable.com/finn-advice/what-is-legal-and-technical-in-home-loan/
  2. [2]CRIF High Mark — How India Lends, Q2 FY26: 9.1 lakh home-loan originations in the quarter, annualising to 3.64 million; average ticket ₹33.2 lakh; HFC share 25.2%. Sourced. https://www.crifhighmark.com/media/5720/how-india-lends-sept-2025.pdf
  3. [3]ANAROCK — Homebuyer Sentiment Survey H1-2025, 8,250 respondents across 14 cities; 92% of dissatisfied affordable-housing buyers cite location accessibility, 90% construction quality. Sourced. https://websitemedia.anarock.com/media/Homebuyer_Sentiment_Survey_H1_2025_770cb18d6a.pdf
  1. [4]Square Yards via Construction World — 545,000 home registrations across nine cities in 2025. Sourced. https://www.constructionworld.in/latest-construction-news/real-estate-news/home-registrations-dip-sales-value-rises-in-2025/83865
  2. [5]Department of Land Resources — DILRMP: geo-referencing at 49.10% against Records of Rights 95.09% computerised, as of 31 December 2023. Sourced. https://dolr.gov.in/en/programmes-schemes/dilrmp-2/
  3. [6]ThePrint — ULPIN / Bhu-Aadhaar at about 30% of 28.72 crore parcels, rural land only, against a March 2026 target. Sourced. https://theprint.in/india/governance/3-years-on-30-of-rural-land-parcels-have-bhu-aadhaar-centre-pushes-for-completion-by-2026/2325001/
  4. [7]PRS Legislative Research — Land Records and Titles in India: the state grants presumptive title and the onus of checking rests with the buyer. Sourced. https://prsindia.org/policy/discussion-papers/land-records-and-titles-india
  5. [8]LegiScore — legal risk rating across 14 states and 700+ courts at ₹1,999 in under 15 minutes, ISO 27001, against the ₹5,000–20,000 manual title search it replaces. Sourced. https://legiscore.in/ and https://legiscore.in/alternatives/property-due-diligence
  6. [9]The Daily Guardian — Propil's PropilScore: 16 data points at ₹99. Sourced. https://thedailyguardian.com/business/the-rs-50000-crore-real-estate-trap-ai-disrupter-launches-bank-grade-property-verification-for-rs-99-753705/
  7. [10]IBEF — Indian Real Estate Industry Analysis: US$650 billion in 2025, 7.3% of GDP. Sourced. https://www.ibef.org/industry/real-estate-india
  8. [11]TEAL India — Title Insurance in India: RERA Section 16, eight insurers approved between 2018 and 2021, no state notified rules and the market never formed. Sourced. https://tealindia.github.io/research/TEAL%20White%20Paper%203-%20Title%20Insurance%20in%20India.pdf
  9. [12]Dealroom and TechCrunch — Landeed's US$8.3M seed round, Y Combinator; 20+ states and a Document Fetch API. Sourced. https://app.dealroom.co/news/feed/landeed-raises-8-3m-seed-round-to-scale-indian-property-title-search-engine
  10. [13]MarkHub24 — MagicBricks PropWorth: free machine-learning valuation across 30 cities and 5,500 localities, launched July 2024. Sourced. https://www.markhub24.com/post/magicbricks-propworth-property-valuation-as-a-customer-acquisition-innovation
  11. [14]HomeRise, citing Zillow — Zestimate median error of 1.9% on-market and 7.5% off-market, across more than 100 million homes. Sourced. https://homerise.com/zillow-zestimate/
  12. [15]Razorpay — a 2% platform fee plus 18% GST, 2.36% all in. Sourced. https://razorpay.com/blog/razorpay-payment-gateway-pricing-explained/
  13. [16]BenchLM — Anthropic API pricing, September 2026: Sonnet-class at $2 a million input tokens and $10 a million output tokens, the basis of the ₹16.25 narrative cost. Sourced, with the token count per report modelled. https://benchlm.ai/anthropic/api-pricing
  14. [17]OwlClaw — India PPC benchmarks 2026: real-estate cost a lead at ₹800–2,000. Sourced. https://owlclaw.com/benchmarks/ppc-benchmarks-india/
  15. [18]RaiseIQ — Indian seed benchmarks, August 2026: a typical raise of ₹3–8 crore. Sourced. https://raiseiq.in/blog/seed-valuation-benchmarks-india/
  16. [19]Centre for Studies of Plural Societies — 401 continuous ambient air-quality stations across 209 cities, MoEF&CC 2022. Sourced. https://cspsindia.org/air-quality-monitoring-measures-in-india
  17. [20]EY India — DPDP Rules 2025, with penalties reaching ₹250 crore. Sourced. https://www.ey.com/en_in/insights/cybersecurity/transforming-data-privacy-digital-personal-data-protection-rules-2025
  18. [21]NIRS scoring rubric, data model and financial model — the 25 signals across 4 dimensions and 3 intent profiles; the 22-screen inventory; the cost-to-serve lines behind ₹58.01; the ₹1,015 lifetime value and ₹309 acquisition ceiling; the four capital scenarios from ₹11.5 crore to ₹41.4 crore; and the Confident Coverage, correlation and conversion gates. Modelled and derived. Project record, not published.

BASIS & STAGE

NIRS is at specification: the rubric, data model, API contracts, screen inventory and financial model are complete, and no code has been written. No property has been scored against a retrieved government record, no user has used the product, and no pilot, waitlist or signed customer exists. The images are renders, not photographs. The central claim — that the score agrees with an expert valuer at Pearson r of 0.60 or above — is unverified. Every cost, margin, acquisition-cost, revenue, capital and volume figure is modelled, not measured. A user quote was cut because no buyer interview has been conducted. Next gate: lawful, repeatable access to Karnataka land records across 1,000 e-Khata addresses, at near-zero cost in Week 1.

PRODUCT RENDERS

Three phone screens in sequence: an address search, a priority screen with sliders for safety, schools, commute, amenities and value, and a ranked list of Bengaluru localities with their scores
A full mobile locality report for Indiranagar: a street photograph, the score of 87 with a confidence label, a score breakdown, three context thumbnails and a list of the named data sources behind it
The NIRS compare view in a browser: three Bengaluru localities side by side with their scores, a matrix of six sub-scores across them and a grouped bar chart by dimension
Three NIRS screens on a black ground beside the wordmark: a locality report, a tablet map of scored Bengaluru localities and a ranked list
The NIRS locality page for HSR Layout on desktop: the headline 'HSR Layout: what the ground looks like before you buy' beside a street photograph, then the questions buyers ask, the four dimensions and nearby localities
The NIRS score result on desktop for 3B, 4th Main, Sector 2, HSR Layout: a location score of 54, band 49–59 at 0.78 confidence, with Access 68, Environment & hazard 31, Services 62 and Trajectory 58, the signals behind the score, and a note of two waterlogging events within 400 m
The NIRS refusal screen on desktop: 'We will not score this address.' The best record match reached 0.41 confidence against the 0.55 threshold, followed by what was found and why it happens
The NIRS Standard report on desktop for 3B, 4th Main, Sector 2, HSR Layout, Bengaluru 560102: a street photograph, the score of 54 out of 100 with its band and confidence, and the report's sections below
The NIRS match step on desktop: 'We matched a record. Is this the property?' A parcel map beside the matched record at 0.91 resolution confidence, with a button to confirm it
The NIRS lender console for a pilot housing-finance company: 3,412 files submitted, 2,695 scored and billed, 46% confident coverage and a 21.0% refusal rate, above a table of recent files and an API panel

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