nPlan
AI-led schedule assurance, risk management, and project-controls software for large capital projects.
Website: https://www.nplan.io/
Cover Block
Public sources
| Field | Value |
|---|---|
| Name | nPlan |
| Tagline | AI-led schedule assurance, risk management, and project-controls software for large capital projects. |
| Headquarters | London, UK [For Construction Pros, March 2021] |
| Founded | 2017 [For Construction Pros, March 2021] |
| Stage | Series B [nPlan, October 2025] |
| Business model | SaaS |
| Industry | Deeptech |
| Technology | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth profile | Venture Scale |
| Founding team | Co-Founders (2), Dev Amratia and Alan Mosca [For Construction Pros, March 2021] [Forbes, November 2018] |
| Funding label | $10M+ |
| Total disclosed funding | ~$34,500,000 [For Construction Pros, March 2021] [nPlan, October 2025] |
Links
Public sources
- Website: https://www.nplan.io/
- Careers: https://www.nplan.io/careers
- Products Overview: https://www.nplan.io/products-overview
- News & Press: https://www.nplan.io/news-and-press
Executive Summary
PUBLIC nPlan builds AI-led schedule assurance, risk management, and project-controls software for large capital projects, and it merits attention now because the company has moved from an early schedule-risk prediction wedge into a broader product suite while adding a $16 million Series B in October 2025 to fund expansion [nPlan, October 2025] [For Construction Pros, March 2021]. Founded in London in 2017, the company’s original pitch was straightforward: use machine learning on historical construction schedules to forecast likely delays and cost escalation earlier than conventional schedule review processes, a proposition that remains central to the current product story [nPlan] [nPlan, October 2025].
The product surface now spans nPlan Insights for project teams, nPlan Portfolio for multi-project oversight, and Schedule Studio, which the company says can turn a scope document into a logically linked construction schedule in under one hour; the differentiation, according to nPlan, rests on the scale of its historical schedule dataset and its ability to convert that history into forward-looking risk signals [nPlan] [nPlan, October 2025]. That said, investors should keep in mind that the strongest evidence for product performance and dataset depth remains company-supplied, including the claim of more than 750,000 completed projects representing over $2.5 trillion in capital spend [nPlan, October 2025].
Leadership appears stable and founder-led. Dev Amratia is identified as co-founder and CEO, while Alan Mosca is identified across company and third-party coverage as co-founder and CTO, giving the company continuity from founding through the current scale-up phase [nPlan] [Forbes, November 2018] [For Construction Pros, March 2021].
On capitalization, the public record supports a 2021 Series A of $18.5 million led by GV and a 2025 Series B of $16 million led by CapHorn, with investors including LocalGlobe, Pentech, Entrepreneur First, Chevron Technology Ventures, and Suffolk Technologies named in coverage or company materials [For Construction Pros, March 2021] [nPlan, October 2025]. The business model is SaaS, and the available demand signals suggest an enterprise motion tied to large owners, contractors, and portfolio managers; in 2021, the company said it operated in eight countries with nearly 30 customers, and later coverage named Chevron, Anglian Water, Sizewell C, and National Grid among customers or users [UKTN, March 2021] [The Standard, June 2026].
The next 12 to 18 months likely turn less on category creation and more on proof of repeatable enterprise expansion: whether nPlan can convert customer references and a larger product suite into broader adoption across portfolios, deeper deployment inside existing accounts, and cleaner third-party validation of outcomes beyond company case studies [nPlan, October 2025] [The Standard, June 2026]. The company has a credible capital base and a timely product thesis, but the key diligence point remains the gap between public product ambition and independently verified operating metrics.
Company-stated, unverified -- This section combines independent funding and team corroboration from For Construction Pros, Forbes, UKTN, and The Standard with material product and dataset claims that remain primarily company-sourced.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Series B |
| Business Model | SaaS |
| Industry / Vertical | Deeptech |
| Technology Type | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | $10M+ (total disclosed ~$34,500,000) |
How the Company Got Here
PUBLIC
The basic outline is clear even if the early capitalization record is not. nPlan describes itself as a London-based company founded in 2017, built around applying machine learning to construction scheduling and project controls for large capital projects [nPlan] [Crunchbase, July 2018]. The available public evidence supports London as headquarters, 2017 as the founding year, and a company history that starts with schedule-risk analysis before broadening into a wider software suite for owners, contractors, and portfolio teams [nPlan] [Crunchbase, July 2018].
The milestone sequence is more straightforward than many venture software companies in this category. nPlan says it raised a seed round in 2017, while Crunchbase records a seed financing on July 30, 2018 for $3.94 million, which likely reflects a disclosed filing date rather than the full start of company formation [nPlan] [Crunchbase, July 2018]. By October 2025, the company was presenting a broader platform that included nPlan Insights, nPlan Portfolio, and Schedule Studio, alongside its original position in schedule assurance and risk management [nPlan] [nPlan, October 2025].
The legal entity is not established in the reviewed source set, so the public record here is best read as an operating-company profile rather than a cap table or registry view. What can be said with confidence is that nPlan has remained anchored in London while pushing into global capital-project use cases, with company materials emphasizing project-level and portfolio-level workflows rather than a single-point scheduling tool [nPlan] [nPlan, October 2025].
Lightly corroborated -- Founded year and headquarters are corroborated by the company website and Crunchbase; milestone detail beyond that relies primarily on company materials.
Product and Technology
MIXED Product surfaces and workflow
nPlan is selling into a part of construction software that buyers usually describe in operational, not experimental, terms: schedule assurance, risk management, and project controls for large capital projects [nPlan, October 2025]. The public product set breaks into three surfaces. nPlan Insights is presented as web-based software for single-project teams, while nPlan Portfolio is aimed at portfolio managers assessing risk across multiple projects and can integrate with Power BI dashboards, according to the company [nPlan, Unknown].
The sharper product wedge is schedule-risk prediction. nPlan says its software uses historical construction schedules to identify likely delays and potential cost escalation earlier than conventional review processes, and it positions that capability for owner-operators, contractors, and portfolio managers making bid, assurance, and oversight decisions [nPlan, Unknown] [nPlan, October 2025] [nPlan, Unknown]. A joint case study with SCS JV and HS2 is cited by the company as evidence of use in a live major-project context, but the available sourcing here remains company-led rather than independently verified [nPlan, Unknown].
MIXED Automation claims, model claims, and implementation signals
The most notable automation claim is Schedule Studio. According to nPlan, the product can convert a scope document into a logically linked construction schedule in under one hour, and a later company blog post says users can ask questions, make edits, run health checks, compare versions, and export updated XER files through integrations with Claude and ChatGPT [nPlan, Unknown] [nPlan, Unknown]. Those statements help frame the user experience, but they should still be read as vendor claims because no verified public demo or independent product review in the provided sources substantiates performance, accuracy, or adoption at scale.
The company also says its forecasting engine draws on a dataset of more than 750,000 completed projects representing over $2.5 trillion in capital spend, and it packages that intelligence into tiered offerings such as Insights Core, Insights Pro, and Risk Professional [nPlan, October 2025] [nPlan, Unknown]. From an implementation standpoint, the open roles point to a services-heavy deployment motion around project controls and client engineering, which is a reasonable signal that product value may depend partly on configuration and domain support rather than pure self-serve adoption (inferred from job postings) [nPlan, Unknown] [University of Toronto Entrepreneurship Job Board, October 2026] [University of Toronto Entrepreneurship Job Board, September 2026] [FlexJobs].
Company-stated, unverified -- Core product descriptions are primarily confirmed by nPlan-owned pages and press materials, with limited independent verification of functionality or performance claims.
Where the Demand Sits
PUBLIC
Construction schedule risk has moved from a back-office controls problem to a board-level capital allocation issue, largely because cost inflation, labor scarcity, and public scrutiny make delays more expensive than they were a cycle ago [The Standard, June 2026].
The available source set does not support a conventional TAM, SAM, and SOM build for nPlan’s category from a named third-party market report, so the cleaner approach is to define the addressable need through the problem economics that public reporting does surface. The clearest external figure in the reviewed sources is The Standard’s reference to construction’s reported "$500 billion delay problem," used in the context of nPlan’s schedule-risk proposition [The Standard, June 2026]. That is not a software market size, and it should not be treated as one, but it is a useful analogous market signal: schedule slippage is costly enough that owner-operators, infrastructure agencies, and major contractors can justify budget for software that reduces uncertainty earlier in the planning cycle [The Standard, June 2026].
Public evidence also points to where demand is concentrated. In 2021, nPlan said it was operating in eight countries with nearly 30 customers across commercial, infrastructure, transportation, and energy construction projects, a buyer mix that suggests the most receptive segment is large, schedule-heavy capital programs rather than small general contracting workflows [For Construction Pros, March 2021] [UKTN, March 2021]. By 2026 coverage, named customer references included Chevron, Anglian Water, Sizewell C, and National Grid, which again skews toward regulated infrastructure, utilities, and energy, where a one-point improvement in schedule certainty can have outsized financial consequences [The Standard, June 2026].
| Market signal | Figure | Interpretation |
|---|---|---|
| Construction delay problem cited in coverage | $500 billion | Analogous problem-cost framing, not software TAM [The Standard, June 2026] |
| Historical projects in nPlan dataset | 750,000+ projects | Indicates a data moat claim if accurate, but the figure is company-reported [nPlan, October 2025] |
| Capital spend represented in dataset | $2.5 trillion+ | Suggests focus on large capital projects, but again comes from the company [nPlan, October 2025] |
| Customer count disclosed in 2021 | Nearly 30 customers | Early proof that the category had cross-vertical demand beyond a single niche [For Construction Pros, March 2021] |
| Geographic footprint disclosed in 2021 | 8 countries | Indicates multinational applicability for schedule-risk tooling [For Construction Pros, March 2021] |
The table shows why this market is investable even without a clean syndicated TAM figure. The external number is problem-cost based, while the company numbers point to segmentation around large capital projects where schedule assurance can sit closer to risk management spend than to commodity project software.
Demand drivers in the public record are practical rather than thematic. nPlan’s own positioning centers on identifying likely delays and cost escalation earlier than conventional schedule reviews, and that lands in a period when owners are under pressure to make faster go or no-go decisions on bids, contractor plans, and portfolio sequencing [nPlan] [nPlan, Unknown]. The named use cases in company materials, including contractor assessment, investment-case assurance, and portfolio oversight, line up with a market where spreadsheets and periodic reporting are still common enough to leave room for a predictive layer on top of existing project controls [nPlan, Unknown].
There is also a visible tailwind from infrastructure investment cycles. Anglian Water’s use of nPlan during the 2025 to 2030 AMP8 investment period is one public example of a multi-year regulated capex program that may require more formal schedule assurance across a portfolio, not just at the single-project level [nPlan, Unknown]. Spark NEL’s use of the software on Victoria’s A$11 billion North East Link project points in the same direction: the software category appears best aligned to large, politically visible programs where delays carry reputational and financial cost for multiple stakeholders [nPlan, Unknown].
Adjacent markets matter because nPlan is not selling into a vacuum. The closest substitutes are likely legacy project controls workflows, schedule analysis done by consultants, and broader construction software stacks that already hold schedule, cost, and field data, even if the reviewed sources do not name specific competing vendors [For Construction Pros, March 2021] [nPlan, Unknown]. That creates a market dynamic where nPlan may be budgeted either as a standalone risk product or as an analytical layer inside a wider capital-projects software estate, especially given its positioning around portfolio management and Power BI integration [nPlan, Unknown].
Macro and regulatory forces look supportive, though the evidence here is more directional than definitive. Utilities, transport agencies, and energy owners face increasing pressure to deliver on fixed investment windows, public accountability, and supply-chain constraints, all of which raise the value of earlier visibility into slippage risk [The Standard, June 2026]. At the same time, long enterprise sales cycles and conservative procurement norms in regulated infrastructure can slow category adoption, which means market demand may be real but unevenly realized across geographies and project types [For Construction Pros, March 2021].
Company-stated, unverified -- This section relies on one independent media source for the analogous problem-cost framing and several company-reported product, dataset, and customer-use-case claims with limited independent corroboration.
Competitive Landscape
MIXED nPlan appears to sit in a narrow but consequential slice of construction software: not the system of record for project execution, but the intelligence layer that tries to tell owners and contractors whether a schedule is credible before delays harden into claims, cost growth, or portfolio slippage [nPlan, October 2025] [nPlan, Unknown] [For Construction Pros, March 2021].
The competitive map is easier to define by substitute than by disclosed peer set, because the sourced record names customers and investors but does not name direct startup rivals [For Construction Pros, March 2021] [The Standard, June 2026]. In practice, nPlan is competing across three fronts. First are incumbent project-controls workflows, where planners, consultants, and owner teams rely on spreadsheet reviews, expert judgment, and retrospective reporting rather than model-based forecasting [nPlan, Unknown] [nPlan, Press Releases]. Second are adjacent enterprise tools, including business-intelligence layers such as Power BI, which nPlan says it integrates with rather than replaces, suggesting coexistence with broader reporting stacks rather than displacement of them [nPlan, Unknown]. Third are engineering and program-management advisers that already hold the budget, data access, and decision rights around schedule assurance on major capital projects, a position that can blunt software adoption even when the technical proposition is clear [For Construction Pros, March 2021].
The company's clearest edge, based on public evidence, is data depth tied to a specific workflow. nPlan says its models draw on more than 750,000 completed projects representing over $2.5 trillion in capital spend, and its pitch has been consistent since at least 2021: use historical schedule behavior to identify likely delay and cost escalation earlier than conventional review methods [nPlan, October 2025] [nPlan, Unknown] [For Construction Pros, March 2021]. That edge could be durable if the dataset is both hard to replicate and tightly linked to customer outcomes in sectors such as infrastructure, transportation, energy, and water, where nPlan has cited usage or customers including Anglian Water, Chevron, National Grid, Sizewell C, HS2, and Network Rail [The Standard, June 2026] [nPlan, News & Press] [For Construction Pros, March 2021] [nPlan, Case Study]. It is also perishable in one important sense: most of the evidence for the dataset scale and product performance remains company-supplied, so the moat is easier to describe than to independently verify [nPlan, October 2025] [nPlan, Unknown].
The exposure is not hard to see. nPlan does not appear, from the public record reviewed here, to own the underlying project system or the broad contractor workflow; instead it plugs into a stack that customers already use and must justify itself as an additional decision layer [nPlan, Unknown]. That leaves it vulnerable to two classes of better-positioned rival. One is the incumbent controls ecosystem, where existing advisers and internal planning teams already control process and trust. The other is the horizontal AI toolset now moving into schedule generation and document interaction. nPlan's own Schedule Studio, which the company says can convert scope documents into a logically linked schedule in under an hour and connect to Claude and ChatGPT for edits and health checks, shows both the opportunity and the risk: if generative features become table stakes, differentiation may rest less on interface novelty and more on proprietary schedule data and integration into live project controls [nPlan, Blog Posts] [nPlan, Blog Post].
The most plausible 18-month scenario is a split market rather than a single category winner. If owner-operators continue to buy independent schedule assurance across portfolios, nPlan is a credible winner if its portfolio products and reference accounts with large infrastructure and energy programs convert into broader standardization [nPlan, Press Releases] [The Standard, June 2026]. The loser in that case is the spreadsheet-led review process, because it is the substitute nPlan is most explicitly targeting [nPlan, Unknown]. If, instead, buyers treat AI forecasting as a feature to be absorbed into existing planning and reporting environments, the likely loser is a standalone specialist such as nPlan, whose public differentiation rests heavily on the dataset and analytics layer rather than control of the full execution stack [nPlan, October 2025] [nPlan, Unknown]. On current evidence, the first path is plausible, but the proof point to watch is not headline funding. It is whether the company can turn named enterprise references into repeatable platform adoption across multiple projects and geographies [For Construction Pros, March 2021] [The Standard, June 2026].
Company-stated, unverified -- This section relies heavily on company materials for product positioning, dataset scale, and workflow claims, with partial corroboration from For Construction Pros and The Standard on customer context and category placement.
Opportunity
PUBLIC
If execution holds, the prize here is not another point tool for schedulers but a control layer that large capital-project owners use to decide whether multi-billion-dollar programs are realistic before delays and cost growth become irreversible [nPlan, October 2025] [For Construction Pros, March 2021].
The headline opportunity is straightforward: nPlan could become the default schedule-assurance and project-controls intelligence layer for complex construction and infrastructure portfolios. That outcome is still conditional, but it is not abstract. Public evidence shows an early footprint in sectors where schedule failure is expensive and governance-heavy, with nearly 30 customers across eight countries by March 2021, plus later named references that include Chevron, Anglian Water, Sizewell C, National Grid, and HS2-related work [For Construction Pros, March 2021] [The Standard, June 2026] [nPlan, Case Study].
The reason this is reachable rather than purely aspirational is the combination of product breadth and investor alignment. nPlan is no longer framed only as a single-project forecasting tool. The company publicly positions nPlan Insights for project teams, nPlan Portfolio for portfolio managers, and Schedule Studio for creating logically linked schedules from scope documents, which expands the addressable workflow from risk review into schedule creation and portfolio oversight [nPlan] [nPlan, Press Releases] [nPlan, Blog Posts]. Its cap table also points to strategic relevance in the built-environment stack, with GV leading the 2021 Series A and CapHorn, Chevron Technology Ventures, and Suffolk Technologies named in the 2025 Series B announcement [For Construction Pros, March 2021] [nPlan, October 2025].
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Owner-standard platform | Large asset owners standardize on nPlan for investment-case assurance, contractor schedule challenge, and portfolio risk reviews across multiple programs | Expansion of portfolio-level products such as nPlan Portfolio, plus referenceability from named owner and operator use cases [nPlan, Press Releases] [nPlan, Solutions Overview] | The company already markets directly to owner-operators and had cross-sector customers in eight countries by 2021, which suggests the product can travel beyond a single niche [nPlan, Solutions Overview] [For Construction Pros, March 2021] |
| Design-to-controls workflow | Schedule Studio becomes an entry point, pulling nPlan earlier into preconstruction and then attaching forecasting, risk management, and portfolio analytics downstream | Adoption of Schedule Studio, which the company says can convert a scope document into a linked construction schedule in under one hour [nPlan, Blog Posts] | If schedule generation and schedule assurance sit in one workflow, the company gains more workflow ownership than a review-only product. nPlan already presents those surfaces as part of one suite [nPlan, Blog Posts] [nPlan] |
| Strategic industry beachheads | Sector-specific investors and customers create repeatable footholds in energy, utilities, transport, and major civil works | Series B participation from Chevron Technology Ventures and Suffolk Technologies, alongside customer references in infrastructure-heavy accounts [nPlan, October 2025] [The Standard, June 2026] | Those sectors share long-duration, high-variance schedules where historic pattern recognition is more defensible as a value proposition than in simpler projects [The Standard, June 2026] [For Construction Pros, March 2021] |
The scenarios point to the same underlying compounding logic. If nPlan wins one major owner or contractor, it can touch more schedules, benchmark more delivery patterns, and improve its credibility in adjacent bids, governance reviews, and portfolio decisions. The company says its dataset covers more than 750,000 completed projects and over $2.5 trillion in capital spend, a company-supplied figure that should be treated cautiously, but it does indicate that management is building the business around accumulated schedule history rather than a one-off services motion [nPlan, October 2025] [nPlan, Our Story].
There is also an early distribution signal in how the product set is moving up the stack. nPlan Insights targets single projects, Portfolio targets multi-project oversight, and owner-operator materials frame use cases such as unbiased contractor schedule assessments, comparing competing bids, and proactive portfolio management [nPlan] [nPlan, Solutions Overview]. That matters because the budget owner in those workflows is often closer to capital allocation and governance than to a narrow software line item, which can support larger and stickier deployments if the product proves reliable in live programs.
The size of the win is best understood through category economics rather than a direct disclosed TAM, because no credible market-sizing figure was confirmed in the reviewed sources. Procore, the closest large public benchmark in construction software infrastructure, has traded as a multi-billion-dollar public company, illustrating that software vendors serving construction workflows can achieve very large equity values when they become embedded systems of record or systems of workflow [Procore Technologies, Investor Relations]. nPlan is operating in a narrower but economically consequential layer, schedule assurance and risk intelligence for large capital projects, so a credible upside case is that it becomes a high-value specialist platform rather than a broad field-operations suite. If the owner-standard or design-to-controls scenarios play out, an outcome in the low-single-digit billions of dollars of enterprise value is conceivable (scenario, not a forecast), particularly if strategic buyers or public investors begin to value proprietary schedule data and portfolio-level workflow control as scarce assets in infrastructure software [For Construction Pros, March 2021] [nPlan, October 2025] [The Standard, June 2026].
Single unverified source -- This section mixes independently reported funding and customer references with material product and dataset claims that are primarily company-supplied.
Sources
Public sources
[For Construction Pros, March 2021] Construction Planning Software Startup nPlan Secures Funding From Google Ventures | https://www.forconstructionpros.com/construction-technology/news/21342976/nplan-construction-planning-software-startup-nplan-secures-funding-from-google-ventures
[nPlan, October 2025] nPlan raises $16M Series B to scale its AI-led transformation of capital project delivery | https://www.nplan.io/press-releases/nplan-raises-16m-series-b-to-scale-its-ai-led-transformation-of-capital-project-delivery
[nPlan] nPlan - Forecast and de-risk construction projects with AI | https://www.nplan.io/
[Forbes, November 2018] 15 Machine Learning Companies To Watch In Europe | https://www.forbes.com/sites/tiffanyyoung1/2018/11/27/15-machine-learning-companies-to-watch-in-europe/?sh=73cd882f1b99
[UKTN, March 2021] nPlan raises $18.5m from Google Ventures to help engineers avoid delays and cost overruns | https://www.uktech.news/news/nplan-raises-18-5m-from-google-ventures-to-help-engineers-avoid-delays-and-cost-overruns-20210311
[The Standard, June 2026] Inside nPlan: the AI fixing construction’s $500 billion delay problem | https://www.standard.co.uk/business/smes/inside-nplan-the-ai-fixing-construction-s-500-billion-delay-problem-b1285599.html
[Crunchbase, July 2018] nPlan | Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/nplan
[University of Toronto Entrepreneurship Job Board, October 2026] Deployment Engineer - AI Project Controls (UK) | https://jobs.entrepreneurs.utoronto.ca/companies/nplan/jobs/97399295-deployment-engineer-ai-project-controls-uk
[University of Toronto Entrepreneurship Job Board, September 2026] Senior Client Engineer (US) | https://jobs.entrepreneurs.utoronto.ca/companies/nplan/jobs/92762323-senior-client-engineer-us
[FlexJobs] Principal Deployment Engineer - AI Project Controls | https://www.flexjobs.com/gjw/nplan/principal-deployment-engineer-ai-project-controls/publicjobs?id=893f8e9e-7989-4fab-b345-5bfed9bd88b6
[nPlan, Press Releases] nPlan Press Releases | https://www.nplan.io/press-releases
[nPlan, Blog Posts] nPlan Blog Posts | https://www.nplan.io/blog-posts
[nPlan, Blog Post] Schedule Studio connects to Claude and ChatGPT | https://www.nplan.io/blog-posts
[nPlan, News & Press] nPlan News & Press | https://www.nplan.io/news-and-press
[nPlan, Case Study] AI-led forecasting and risk management on the HS2 London Tunnels project | https://www.nplan.io/news-and-press
[nPlan, Solutions Overview] nPlan Solutions Overview | https://www.nplan.io/
[nPlan, Products Overview] Products Overview | nPlan | https://www.nplan.io/products-overview
Articles about nPlan
- nPlan's AI Now Forecasts Risk on 750,000 Past Construction Schedules — The London-based startup uses a massive historical dataset to predict where capital projects will go off track, landing Chevron and a fresh $16 million to scale.