A space is a commodity, a building is a manufacture — the Indian proptech gap.

The first five years of Rohan’s working life as a founder were spent on a Bengaluru marketplace for interior-construction labour. Two million in cumulative revenue over the period, complete bootstrap, no funding round. He grew the business organically, ran it as a Marketplace serving homeowners, and concluded failure at the end of year five because the next inflection needed cheques the business had refused to take. The pandemic landed at the same time. He took a sabbatical, joined another startup for the intermediate years, and then moved into the Sanvio operating role.

The lesson he carries forward into the construction-tech conversation is the structural one. A marketplace business in this category cannot get to its second inflection on revenue alone. The category needs balance-sheet patience and supply-side acquisition spend that organic cash flow will not fund. Bootstrap was the right discipline for the first three years and the wrong discipline for the next three; the constraint Rohan names is not effort but cheque size.

The opening conceptual move in the hour. Real estate, by Rohan’s definition, is the trade of a space — empty or constructed — treated as a commodity. The American property-technology category is built around that trade. Construction, by contrast, is the manufacturing process that produces the space in the first place. Two industries, two regulatory perimeters, two technology stacks. In the West they have been separated cleanly enough that the financial press and the venture press follow them on different beats.

In India, the same operational reality is bundled. A single conglomerate owns sourcing, building, and selling under one corporate roof, and the press follows the conglomerate rather than the function. The phrase “proptech” gets used in the Indian conversation for what is, in the Western frame, construction-tech. The collapse hides the fact that the technology that fixes the trading side — listings, mortgages, fractional ownership, escrow — rarely reaches the manufacturing side, where BIM and modularisation live. Rohan’s correction is editorial before it is technical.

Rohan calls construction a manufacturing industry and immediately qualifies it. A factory builds in mass to a target market. Construction reverses the process. The client is named first, then the structure is designed and produced around that client’s plot, soil, climate, brief, and budget. A bridge in Bengaluru and a bridge in Mysuru cannot be the same bridge because the geotechnical conditions and the climatological conditions differ. Multiply that across every site in a country and the implication is that scale, in this industry, is not the standard scale.

The consequence for technology is large. A SaaS playbook tuned to identical software users does not survive contact with a market where every project has a different specification. The tooling has to be parameterised at the project level rather than templated. Modularisation works inside this constraint by standardising the components rather than the buildings — a kitchen unit is identical, the kitchen it goes into is not. The framing also explains why the construction industry has lagged software in productivity by decades and why the catch-up is not optional once the labour pool thins.

Rohan’s sizing of the category. Global construction is roughly thirteen per cent of GDP and a ten-trillion-dollar annual market. The number sits inside a productivity profile that has been flat for forty years. The three problems he names: uncertainty across the value chain, where every party prices in slack to cover unknown unknowns; a skilled-labour shortage that is already binding in the United States; and a waste-output profile that the climate accounts cannot absorb. Each problem is a wedge that a different technology firm can be built on.

The implication is that the addressable market for digital intervention is not a niche. Five to ten per cent productivity savings on a ten-trillion-dollar base is a five-hundred-billion to one-trillion swing per year — the magnitude is industry-defining. Most of that swing currently sits in the United States, the United Kingdom, and China because their public-project share is high enough that government mandate can force the technology on without an internal business case. For an Indian operator the read is that the global pie is enormous and the question is which part the country’s firms get to manufacture.

Building information modelling, in Rohan’s description, is one cloud-based model on which every stakeholder works concurrently — architect, structural engineer, mechanical, plumbing, electrical, contractor, owner. It is a process; the tools that implement it can be Revit, ArchiCAD, Tekla, or others, and a firm picks what suits its monetisation. The differentiator is that the data layer is shared. The plumbing engineer sees the electrical run; the contractor sees the architect’s constraint; the owner sees the cost roll-up. Nothing is exchanged over email and then re-keyed into a different application.

The example he returns to is a metro railway corporation. Three years of conventional planning, with documents handed across silos and re-keyed at each handoff, compresses to six months when every stakeholder edits the same model. The compounding effect of project completion on time is, in his words, that the supply curve shifts to the right, demand follows, and the economy gains both labour absorption and infrastructure delivery on a faster cycle. The technology is not a productivity tool. It is a coordination tool whose productivity effect is downstream.

Rohan’s map of the segment. Marketplaces for labour, materials, and equipment — the segment Buildin operated inside. Robotics and prefabrication, where modules are manufactured off-site and assembled on-site, often using stock-keeping unit and QR-code identification so an assembly worker scans a part and slots it in. Digital twins, where an existing structure is scanned with lasers or drones and converted into a BIM model that can be simulated, repaired, or extended. The three operate independently in the market but rely on one common data layer.

That data layer is BIM. Without the model, the marketplace cannot price by part. Without the model, the modular factory cannot identify which module belongs to which slot. Without the model, the digital twin has no destination format. The architectural argument Rohan makes is that the three constellations look like separate categories from the outside — and three different sets of investors fund them — but from the inside they are the same product with three sales motions. Sanvio sits on the BIM-as-services axis and ships product extensions like ACI-inspired bill-of-materials tooling on top.

An asymmetry Rohan calls out as he walks through the Indian implementation curve. Residential interiors firms have moved fastest onto BIM because the customer journey is short, the unit ticket is high, and the sales conversion benefits enormously from a one-hour quote backed by a 3D model. General contractors run on multi-year cycles, large contracts with state actors, and capital structures that do not respond to a thirty-per-cent productivity gain. The interior firm sells the BIM benefit directly into the customer experience. The contractor does not.

The exceptions are public-sector projects with implicit mandates — Rohan cites L&T building Bengaluru’s new airport on BIM and Maruti Suzuki’s Gujarat plant on BIM. Where the procurement document specifies a BIM level, the contractor adopts. Where it does not, the residential side outpaces the commercial side because the BIM benefit sits inside the customer-facing first moment of truth rather than inside the contractor’s margin. The adoption order is governed by where the value gets visibly realised, not where the productivity gain is largest.

Rohan’s most precise numbers of the hour. The United States has passed a bipartisan infrastructure law that commits roughly five hundred billion dollars to public projects over the next ten years. Over the same ten years, forty per cent of the skilled construction workforce is expected to retire. The current shortfall is half a million workers. Compounded across the decade, the labour gap is five million skilled workers. There is no domestic training pipeline that closes a gap of that size, and immigration policy is too contested to be relied on as the answer.

The only remaining lever is technology. Robotics replaces the workers who are not there. BIM compresses the time of the workers who are. Prefabrication moves the labour off-site, to be done in lower-wage geographies where the shortage does not bind. The technology is not adopted because it is better; it is adopted because the alternative is project failure. The mandate language — level-two BIM compliance for public bids in the United States, the United Kingdom, and China — encodes the forcing function. India does not face the same labour pressure, so the Indian adoption curve will have a different shape.

The mandate Rohan returns to several times. In the United Kingdom today, a contractor that cannot model at BIM level two cannot bid on government projects. The same gate operates in the United States and is being raised in China. The framing is structural. Twenty to thirty per cent of project flow in these markets is public; the public buyer can specify the production technology; the private buyer follows the public lead within a few cycles. The mandate is the productivity case made enforceable, and the contractors that resist eventually exit the public-project pool.

The pattern travels. Whenever an industry has a concentrated buyer with regulatory authority — defence, healthcare, transport, energy — the buyer can compress the adoption curve by making the technology a precondition of participation. The economic effect is that the slow-adopting firms are not slowly squeezed; they are abruptly excluded. The lesson for an Indian operator is that the government mandate, when it lands, will reorder the contractor pool more sharply than competitive pressure could.

Rohan cites a Silicon Valley Bank report from just before its collapse. Construction-technology investment globally was roughly eleven billion dollars in the preceding two years, eighty per cent of which landed in the United States. He pairs that figure with a structural observation. American construction-tech companies routinely operate offshore in India and the Philippines for their modelling and back-office work. Sanvio itself runs core modelling services from multiple Indian cities and develops internal tooling here. When dollars flow into a Bay Area or Boston headquarters, a meaningful share flows back to the Indian operating teams through outsourced contracts.

The implication for an Indian operator is that being India-based does not mean being cut out of the American capital flow. The opposite. The market that gets eighty per cent of the funding is the market that needs delivery capacity in geographies where the capacity is available and the wage arbitrage is real. Indian construction-tech firms can capture a share of the global ten-trillion regardless of whether the Indian government mandates BIM domestically, because the demand pull is in the United States and the delivery push is in India.

The most concrete adoption pattern Rohan describes in the country. Ten years ago, a residential customer walking into an interiors firm with a floor plan would wait at least a week for a design and a quote. Today she walks out within an hour, with a 3D model on screen and a costed quote in hand. The transaction has compressed from a week to an hour because the BIM model is being built on the showroom workstation in real time. The same model is then used through production, installation, and post-handover feedback collection — one customer-relationship tool with the BIM data layer underneath it.

Rohan frames this in retail-marketing language. The showroom visit is the first moment of truth, captured on the model; the installation is the second moment of truth, executed against the model; the post-installation feedback is the ultimate moment of truth, fed back into the model. The Indian residential-interiors segment has built a zero-to-hundred customer journey on one tool, ahead of the equivalent commercial-construction segment. The capability has been built and is shipping; the question is what scales upward into larger projects and what scales sideways into other industries.

Rohan’s most opinionated reframe of the hour. The standard product-business dashboard — lifetime value over customer acquisition cost, top-line revenue, daily and monthly active users — assumes a high-frequency, low-margin software product. A BIM-services business has a different shape. Project cycles run months. Each project carries cost long after acquisition. Headcount is the binding constraint on output. The dashboard is wrong for the industry.

His three substitutions. First, customer carrying cost — the running spend on a project across its multi-stage lifecycle, paired with NPS at each stage to surface the emotional curve of the customer. Second, revenue per employee, because the business is human-driven and bounded by modelling capacity. Third, activation rate — the share of total users actually generating revenue inside the product — replaces daily and monthly active users, because what matters is who is doing the work that earns the line. The reframe is the kind of move a founder makes once after copying the SaaS playbook and once after deciding to stop copying it.

Rohan’s short stint with Sustainable Business Labs in Paris, under director Mridula Chatterjee, gave him a frame he kept using. The five parameters were built to rate India’s top two hundred companies for a business-press feature on the country’s most sustainable firms. Resource efficiency was the operating dial. Financial stability was the survival dial. Social entrepreneurship was the mission dial. Clean revenue was the integrity dial. Inclusive supply chain was the externality dial. Five dimensions chosen to cover the seams the financial statement misses.

The claim he attaches to the frame is testable. In the operating roles he held after Paris, applying these five parameters as company-level diagnostics, attrition dropped and revenue grew twofold. The pattern he names is that companies evaluated on empathy and inclusivity rather than only on profit margin behave differently in the way they recruit, retain, and source. The frame travels because the parameters are general; the implementation specifics depend on the industry. For a construction-tech operator, the inclusive-supply-chain parameter alone touches procurement of labour from the marketplace constellation in a way that the standard ESG dashboard does not.

Rohan’s read on the Indian opportunity. Residential real estate has been stagnant for several years, on the back of the post-RERA cleanup and the inventory overhang in the major metros. The growth is on the commercial, industrial, and institutional side — office, factories, education infrastructure, hospitals. Foreign direct investment is now driving a meaningful share. Private-equity firms are deploying capital into Indian infrastructure as a yield play. The country no longer needs to raise venture money or take bank debt to build at this scale; the foreign and institutional pools are open.

The implication for a construction-tech operator is that the addressable market in India is not the same shape as the one Western press reports suggest. Residential proptech — listings, mortgages, fractional ownership — addresses a market segment that is not growing. Commercial and industrial construction-tech — BIM, prefab, digital twin — addresses the segment that is. The two sides of the bundled Indian vocabulary diverge in growth rate even where they share an investor pitch. Rohan’s implicit advice is to pick the right side and stop selling against the wrong one.

Rohan’s closing argument on the Indian opportunity. He names Zoho and LeadSquared as examples of Indian software companies whose customer majority is in the West — Indian-built tools sold globally. The same pattern, he argues, will repeat in construction-tech. India has the modelling capacity, the engineering talent, the cost-base advantage, and an existing track record in skill-trade export. American capital is funding the demand side. Indian operating teams are servicing it. The bridge already exists; the segment that has not yet been articulated is construction-tech as an export category in its own right.

The framing is consistent with the rest of the hour. The country’s domestic adoption is going to be slower than the American adoption because the labour shortage that forces American adoption does not exist here. But Indian firms can capture a share of the global pie by participating in the delivery chain of the American mandate. The opportunity is large; the entry is open; the founder profile is different from the consumer-tech founder who has dominated the Indian startup press. The construction-tech founder is selling abroad and delivering at home, and the playbook for that has already been written by two earlier waves of software.