Novata alternatives: ESG data collection, reporting and deal diligence

Executive Summary

Novata is a purpose-built ESG data platform for private markets, and for the specific job of collecting standardised sustainability data from dozens or hundreds of portfolio companies, benchmarking it and reporting it to LPs and regulators, it remains the reference point against which every alternative is measured [2][10]. The buying decision in 2026, however, is no longer "which ESG platform?" It is "what job am I actually hiring software to do?" — and the honest answer for most corporate development, strategy and M&A professionals is that Novata solves one important but narrow job, while a meaningful part of what they need sits in a different category altogether.

This comparison therefore separates the market into two jobs that buyers routinely conflate. Job 1 — sustainability data infrastructure: collecting, validating, benchmarking and disclosing ESG and carbon data across a portfolio or enterprise. Novata, Position Green, KEY ESG, Holtara, Novisto and Workiva compete here, with Persefoni, Watershed and Sweep as carbon-first specialists and Clarity AI, Sustainalytics, RepRisk and Datamaran as outside-in data and risk layers [36][42][43]. Job 2 — deal intelligence and execution: market mapping, target screening, company research, diligence over data-room documents, and producing the memos, models and board materials a deal requires. CorpDev.Ai competes here, alongside Midaxo, DealCloud, Grata, AlphaSense, DealRoom and Datasite [19][20][99][100]. The principal overlap examined here is ESG due diligence on a live transaction — and that overlap is where a buyer must decide whether ESG is a data-collection workflow (Novata's ESG Due Diligence module) or one more diligence workstream that an AI analyst should run over the data room alongside financial, commercial and legal review (CorpDev.Ai's approach) [16][19][123].

The regulatory backdrop has shifted the economics of the purchase. The EU's Omnibus I, in force since 18 March 2026, cut CSRD scope to companies with more than 1,000 employees and more than €450 million turnover, and delayed wave-2 reporting by two years; the SEC proposed rescinding its climate disclosure rule on 29 May 2026; and SFDR 2.0 remains an unfinished proposal [53][54][55][65][57]. Compliance-only demand for ESG software has weakened as a result. What has not weakened is LP scrutiny — 83% of LPs in a 2026 Malk/SLR survey said they had declined to invest with a GP primarily over ESG concerns — and the formalisation of ESG diligence in transactions, where the cited survey reports 27% using formalised ESG diligence and a further 23% planning to add it within 12 months [68][74]. The durable case for any tool in this space is therefore its contribution to investment decisions, underwriting and value creation, not its ability to fill a regulatory template.

Our verdicts, in brief:

• Buy Novata if you are a GP, fund-of-funds or allocator whose primary pain is standardised portfolio-company ESG data collection, EDCI-aligned benchmarking and LP reporting across a large number of companies. Its private-markets benchmark depth (300+ metrics, ~49,000 benchmarks) and EDCI partner status are hard to replicate [82][73].
• Consider Position Green, KEY ESG or Holtara as the closest like-for-like substitutes, particularly for European portfolios with CSRD/SFDR exposure or where a services-led delivery model is preferred [43][44][45][46].
• Choose Workiva or Novisto where auditable, assurance-ready disclosure controls matter more than private-markets benchmarking — typically a listed or soon-to-list corporate rather than a fund [34][35][48].
• Choose Persefoni, Watershed or Sweep when carbon accounting — Scope 1–3, financed emissions, PCAF — is the dominant requirement; these are not full-spectrum ESG collection tools [37][40][49].
• Choose CorpDev.Ai if you are a corporate development or strategy team whose real job is finding, evaluating and closing deals, and ESG is one diligence lens among many. It is not a Novata substitute for portfolio data collection; it is an alternative answer to the question "how do I run ESG diligence on a target" — and a broader answer to everything around that question [19][20][25].

What You Are Actually Buying: Two Jobs, Not One Category

Software procurement in this space goes wrong most often at the framing stage. A corporate development head is asked by the board to "get ESG diligence sorted", searches for ESG platforms, finds Novata at the top of every list, and ends up with a portfolio-monitoring system designed for private equity fund managers when what the team needed was a way to assess three targets a year. Conversely, a PE ESG lead who needs 60 portfolio companies to answer the same 40 EDCI metrics on time will find no AI research tool, however capable, replaces a governed collection workflow with validation rules and audit trails.

Job 1: Sustainability data infrastructure

The core of this job is repeatable, governed data collection from entities you do not control day to day. The buyer is typically a GP's sustainability or portfolio operations team, an LP or fund-of-funds, a bank's asset-servicing arm, or a large corporate's sustainability function. The workload is a recurring cycle: define metrics, issue requests, chase responses, validate submissions, calculate derived figures such as emissions, benchmark against peers, and produce LP, regulatory and board reports. Novata's own materials describe this cycle explicitly — guided requests, standardised definitions, validation, a shared repository and a 3,000+ metric library mapped to ISSB, SASB, GRI, CSRD and SFDR [9][11][13].

What distinguishes vendors within this job is depth of private-markets benchmarking, regulatory framework coverage, the burden placed on portfolio companies, assurance readiness, and whether delivery is self-serve software or services-led. These are not features an M&A platform offers, and no buyer should expect one to.

Job 2: Deal intelligence and execution

This job is episodic and decision-oriented: understand a market, find and rank targets, research a company deeply, run diligence across a data room, quantify synergies and valuation, and produce the investment memo and board deck that carry a decision. The buyer is an in-house corporate development or strategy team, a PE deal team, or an investment bank. CorpDev.Ai positions itself here as an "AI-native, end-to-end" platform combining a 70-million-company search universe, an AI analyst agent, a pipeline CRM, an AI data room with page-level citations, and document generation to Word, PowerPoint and Excel [19][20][21][24]. Its established competitors split into deal operating systems (Midaxo, DealRoom, Devensoft), relationship CRMs (DealCloud, Affinity), discovery and research tools (Grata, SourceScrub, AlphaSense) and virtual data rooms (Datasite, Ansarada) [99][100][113].

The overlap: ESG due diligence on a transaction

Novata launched its ESG Due Diligence solution on 23 April 2025, allowing deal teams to request, review and compare a target's sustainability data against portfolio and market benchmarks pre-investment, and then carry that baseline into post-close monitoring [16][123]. This is genuinely useful when the acquirer is a PE sponsor that will onboard the target onto Novata anyway; the diligence dataset becomes day-one portfolio data.

For a corporate acquirer, the calculus differs. ESG diligence on an acquisition is rarely a standardised questionnaire exercise. It is a review of permits, incidents, litigation, workforce data, supplier exposure, regulatory obligations and the credibility of the target's own sustainability claims — most of which arrives as unstructured documents in a data room and needs to be read alongside the financial and legal material. An AI diligence layer that ingests the full data room and answers questions with page-level citations addresses that need more directly than a metric-request workflow, and it does so for every other diligence workstream at the same time [19]. The trade-off is that the corporate acquirer gets no private-markets benchmark against which to judge the answers; for that, an outside-in reference such as RepRisk or Sustainalytics fills the gap better than Novata would [125][126].

The 2026 Context That Should Change Your Calculus

The source research dated 11 September 2026 describes three regulatory developments affecting ESG software demand. The account below preserves that historical assessment; applicability, final legal text and national implementation must be established for the buyer before sizing a compliance contract.

CSRD scope has collapsed for most portfolio companies. The final Omnibus I legislation, adopted 26 February 2026 and in force from 18 March 2026, limits CSRD to EU companies exceeding both 1,000 employees and €450 million net turnover, with a €450 million EU-turnover threshold for non-EU groups [53][54]. Wave-2 companies, originally due to report in 2026 on FY2025 data, now generally report first in 2028 [55][56]. The typical mid-market PE portfolio company is no longer directly in scope. The value chain effect persists — in-scope customers, lenders and sponsors still ask — but the argument that a portfolio "must" buy a CSRD platform has largely gone.

SFDR 2.0 is still a proposal. The Commission's model would replace Article 8/9 with three voluntary categories (Sustainable, Transition, ESG Basics) with a 70% investment-alignment test; the Taxonomy-alignment threshold is contested between 15% and 20%; the Council adopted its mandate in June 2026 and trilogue is outstanding [57][58][59][60][61]. Software that hard-codes today's PAI and Article 8/9 logic will need rework. Buyers should require contractual commitments to update regulatory templates without additional charge.

The SEC climate rule faces a rescission proposal in the cited research. The 2024 rule was never effective; the SEC proposed full rescission on 29 May 2026 and comments closed on 3 August 2026, with final action pending [65][66][67]. Combined with state-level anti-ESG activity, US corporates face lower federal disclosure pressure and higher reputational sensitivity around ESG terminology. The market response has been repositioning toward "risk, resilience and value creation" language rather than abandonment — 73% of LPs in the 2026 Malk/SLR survey said US anti-ESG action had not changed their engagement with GPs [68].

What has not changed is that LPs and acquirers still want defensible data. The same survey found 83% of LPs had declined a GP over ESG concerns and 71% might reconsider GPs that do not integrate ESG into value creation [68][69]. The EU Taxonomy Delegated Act revision of 8 January 2026 introduced a 10% materiality threshold that simplifies reporting but keeps KPI calculation and evidence management relevant [62][63][64]. Deloitte found 27% of PE investors already treat ESG as a formalised, consistent diligence component and a further 23% planned to add it within 12 months [74].

The implication for software selection is that compliance-template capability is now table stakes and a weak differentiator, while benchmark depth, diligence integration, data defensibility and low portfolio-company burden are where the value sits. This is the lens applied to each vendor below.

Novata: An Objective Profile

What it is

Novata was formed in 2021 by a consortium of the Ford Foundation, Hamilton Lane, S&P Global, Microsoft and Omidyar Network as a B Corp-certified public benefit corporation, and launched commercially in April 2022 [1][2]. It raised a $30 million Series B in February 2023 led by Hamilton Lane, with participation from S&P Global, Microsoft's Climate Innovation Fund and a group of GPs including Clearlake Capital, Hellman & Friedman, Kohlberg & Company, Lindsay Goldberg and The Vistria Group; an undisclosed follow-on in May 2024 brought in Motive Ventures (Apollo-affiliated) [4][3]. Northern Trust is both an investor and a distribution partner, making Novata available to its asset-servicing clients [96]. The company is led by co-CEOs Alex Friedman and Josh Green [92][2].

The platform has evolved from an ESG questionnaire tool into what Novata now calls a "carbon, risk and sustainability intelligence platform" [8]. Its modules span portfolio data collection (Sustainability Hub), a 3,000+ metric library, benchmarking (300+ metrics, ~49,000 benchmarks segmented by industry, geography, revenue and FTE), portfolio analytics and LP reporting, Carbon Navigator for Scope 1–3, financed emissions and SBTi, SFDR PAI automation, CSRD/ESRS workflows, EU Taxonomy, a Regulatory Navigator, Risk Atlas, supply-chain data collection, proxy data for gap-filling, ESG Due Diligence and advisory services [9][11][12][13][15][16][82].

Pricing

Novata publishes company-side pricing based on facilities and suppliers rather than seats: Manage at $20,000/year (up to 10 facilities, 100 suppliers), Grow at $50,000/year (50 facilities, 500 suppliers) and Lead at $100,000/year (unlimited) [15]. Investor pricing is customised on portfolio size, modules and advisory support, with Portfolio Reporting priced per company in the portfolio [15]. Buyers should expect a GP deployment covering several dozen portfolio companies to land well into six figures once carbon, SFDR and advisory are added, and should negotiate explicitly on data ownership, use of contributed data in aggregated benchmarks, post-termination portfolio-company access, renewal caps and audit rights — none of which are publicly standardised.

The Alternatives

The alternatives fall into five groups. Groups A–C compete with Novata for aspects of Job 1; Group D supplies outside-in data and risk intelligence; Group E — CorpDev.Ai and its peers — addresses Job 2 and the deal-side overlap.

Group A: Direct substitutes for portfolio ESG data collection

Group B: Enterprise disclosure and controls platforms

Workiva (NYSE: WK) is the broadest governance and reporting platform in the set, with workflow, permissions, evidence management, data lineage, XBRL and assurance support spanning financial, regulatory and ESG reporting. It carries a G2 rating of 4.5/5 across more than 2,100 reviews, by far the largest independent sample of any vendor here [34][35][36]. Third-party purchase data suggests an average spend of roughly $60,000 a year with a range of $36,000 to $156,000 before ESG modules and implementation [33]. It is the right answer for a listed corporate that needs controlled, auditable disclosure; it is a poor substitute for Novata in engaging hundreds of private portfolio companies, and its carbon capability typically requires integrations.

Novisto occupies similar ground with a stronger ESG-specific data model, disclosure mapping, audit trail and CSRD/ESRS support. G2 rates it 4.4/5 on 20 reviews, and Verdantix specifically names it in its analysis of ESG reporting tools for private equity [35][42][48]. It is enterprise-implementation heavy and historically less PE-specific than Novata, but it is the more credible choice where assurance readiness is the deciding criterion.

Group C: Carbon-first specialists

Persefoni is the strongest fit where financed emissions and PCAF methodology drive the requirement — banks, asset managers, insurers and PE firms with climate-led mandates. It offers a free Pro entry tier with enterprise pricing estimated at $50,000–$100,000+ a year; G2 rates it approximately 4.8/5 on 11 reviews, with ease of use scored below category average [33][37][38]. Watershed leads on Scope 1–3 data ingestion, supplier engagement, scenario modelling and reduction planning for large enterprises, at estimated deployments of $50,000–$250,000+; G2 rates it 4.5/5 on 25 reviews [33][39][40][41]. Notably, Novata and Watershed have a strategic partnership combining Novata's private-markets data management with Watershed's financed-emissions and net-zero capabilities, which signals that Novata itself treats deep carbon as adjacent rather than core [98]. Sweep offers a modern interface and collaborative supplier workflows for mid-market carbon programmes; its 4.8/5 G2 rating rests on only four reviews [49]. None of the three is a full-spectrum ESG collection tool; social, governance and LP-reporting questionnaires are not their strength.

Group D: Outside-in data, ratings and risk intelligence

These are complements, not replacements. Clarity AI and Morningstar Sustainalytics supply external ESG data, ratings, controversy research and SFDR analytics to institutional investors, priced as data subscriptions; both are useful as an independent reference against self-reported portfolio data but neither collects operational data from companies you own [36][43][50]. RepRisk provides adverse-media and stakeholder-based risk screening with Due Diligence Scores delivered via platform, API, Snowflake and Bloomberg — the standard "what do external sources say" check before an NDA is signed [125][126][127]. Datamaran, which raised a $33 million Series C from Morgan Stanley Expansion Capital in September 2024, maps a target's activities and geographies to more than 19,800 non-financial regulations across 190+ countries — the tool for regulatory-exposure diligence on cross-border acquisitions [51][129][130][131].

Greenomy, Reporting 21 and Proof round out the European field as EU-taxonomy-focused, services-led or niche offerings respectively; independent evidence on all three is thin, and any buyer shortlisting them should insist on a live workflow demonstration and reference calls rather than relying on published material [50].

Group E: CorpDev.Ai and the deal-intelligence alternatives

CorpDev.Ai, founded in 2023 and headquartered in Boston with a San Francisco hub, was founded by Kal Kilpi, previously founder of the M&A SaaS platform Midaxo [27][28][29]. Its platform combines a natural-language AI analyst agent (orchestrating Claude, GPT, Perplexity and Gemini models) for company profiles, market research, investment memos and presentations; a 70-million-company search universe with natural-language target description and AI fit scoring; automated market mapping; a Kanban pipeline with "zero-entry" CRM populated from Microsoft 365 and Google Workspace; an AI data room ("AI Room") that ingests PDF, XLSX, DOCX and PPTX with vision extraction, page-level citations and an audit trail; scenario and synergy modelling; and document generation to Word, PowerPoint, PDF, Excel and Markdown [19][20][21][22][24][25]. A "CorpDev Brain" knowledge layer stores strategy, analyses, emails, meetings and data-room material as a persistent, searchable base, and managed services are available for sourcing, memo production and PMI planning [19][20][26].

Pricing is published: AI Pro at $1,000/month annually ($1,200 monthly) for one user; AI Pro Team at $3,000/month annually ($3,600 monthly) for three users with collaboration and admin controls; Enterprise on custom quote with unlimited users, SSO, financial modelling and managed services [24]. The company states it is used by "hundreds of CorpDev professionals" and targets in-house teams at companies of roughly $1 billion revenue and above [19][24].

For a corporate development buyer weighing CorpDev.Ai against its own peer set rather than against Novata: Midaxo ($25,000–$150,000+ a year) and DealRoom ($15,000–$60,000+) are process-oriented deal operating systems to compare with CorpDev.Ai for serial acquisition programmes; DealCloud is the configurable enterprise relationship CRM on custom pricing; Affinity ($2,000–$2,700 per user) is the lighter relationship tool; Grata ($15,000–$45,000) and SourceScrub ($15,000–$40,000) are sourcing databases; AlphaSense ($12,000–$51,000 per seat) is premium research; Datasite (custom, roughly $68,000 average per transaction) and Ansarada (from ~$244/month) are virtual data rooms [99][100][105][109][113][121]. CorpDev.Ai's distinguishing claim against this field is breadth — research, sourcing, pipeline, data-room analysis and deliverable generation in one AI-native system at a published price — while the incumbents are deeper in their individual lanes and carry longer customer track records.

Head-to-Head Comparison

The matrix below scores each vendor on the criteria that actually differentiate in 2026. Scores are the author's assessment on a 1–5 scale synthesised from vendor materials, independent review data and analyst coverage cited throughout this document; they are judgements, not measured benchmarks, and the basis column in the Key Facts appendix records the evidence behind each vendor's profile.

Three patterns stand out. First, Novata scores highest in the first two columns in this assessment; its governed collection and disclosed private-market benchmark depth are central strengths, although the scores are not independent comparative benchmarks. Second, the enterprise controls platforms and the carbon specialists each dominate one column and trail elsewhere, which is why they usually appear in a stack alongside a collection tool rather than instead of one. Third, CorpDev.Ai inverts Novata's profile — weakest exactly where Novata is strongest, strongest in broader deal intelligence and price transparency, where Novata scores lower, and competitive on deal-side diligence and pricing transparency. The two products are close to orthogonal, which is the single most useful fact for a buyer trying to decide between them: in most cases the question is not either/or but whether the second job justifies a second budget line.

Decision Framework by Buyer Archetype

The right purchase depends far more on who you are than on any feature list. Four archetypes cover most readers of this document.

The ESG measurement and reporting requirement determines which specialist capabilities belong in the evaluation. It does not determine which platform should own the full M&A programme. Compare the work the team must complete, the evidence and controls required, and the effort of maintaining multiple systems.

Total Cost and Commercial Diligence

Published prices exist for only a minority of the vendors; the table consolidates what is public and what third-party purchase data suggests. Treat non-published ranges as budgeting estimates for RFP planning, not quotes.

Beyond the licence, four cost lines are routinely underestimated. Portfolio-company time is the largest hidden cost of any collection platform: every metric requested is answered by a finance or operations manager at a company that did not choose the software. Implementation and advisory are quote-based at Novata, Workiva, Novisto and the carbon specialists and can approach the first-year licence. Regulatory re-work is now a live risk given SFDR 2.0 and Omnibus I; contracts should oblige the vendor to update templates without charge. Exit costs — data export in usable form, portfolio-company access after termination, benchmark data rights — are rarely priced but determine switching leverage at renewal.

Procurement checklist

Use the following in any RFP for a Job 1 platform; the deal-intelligence equivalents follow for Job 2.

• Metric library mapped to EDCI, SFDR PAI, ESRS and GHG Protocol, with a single request de-duplicated across frameworks
• Benchmark precision disclosed per metric (sample size, industry / size / region match level)
• Portfolio-company effort per cycle quantified by the vendor from comparable deployments, with references who will confirm it
• Contractual template updates for SFDR 2.0 and Omnibus I at no additional cost
• Explicit MSA terms on contributed-data use in benchmarks, exclusion rights and post-termination access
• Downward flexibility on portfolio-company count at renewal
• Implementation plan with named milestones and a defined go-live date
• Capterra / G2 / analyst evidence supplemented by at least three reference calls with firms of similar portfolio size

For a deal-intelligence platform such as CorpDev.Ai, Midaxo or DealRoom, substitute: data-room ingestion limits and citation fidelity tested on a real past deal; company-universe coverage tested against a known target list in your sector; export quality of memos and models into your house templates; security posture (SSO, data residency, model-provider data handling) reviewed by IT; and reference customers at comparable revenue scale.

Recommended Configurations

Bringing the analysis together, three configurations cover the majority of buyers.

Configuration A — Private-markets sponsor. Novata as the system of record for portfolio ESG data and LP reporting; Novata ESG DD for transactions where the target will join the portfolio; RepRisk for pre-NDA controversy screening; Persefoni or Watershed only if climate commitments require PCAF-grade financed emissions. A CorpDev.Ai or AlphaSense seat for deal-team research is a separate, small budget line and does not displace any of the above.

Configuration B — Strategic corporate acquirer. CorpDev.Ai, compared directly with Midaxo and DealRoom for end-to-end M&A management, as the programme environment with ESG run as a workstream over the data room; RepRisk screen on every target; Datamaran or external counsel for cross-border regulatory exposure. No Novata licence unless the acquirer operates a reporting portfolio of owned businesses — and if it does, evaluate Workiva or Novisto for the parent's controls first.

Configuration C — Listed corporate with residual CSRD scope. Workiva or Novisto for assured disclosure; Watershed or Sweep for Scope 3 supplier programmes; Novata company-tier only where a usage-based model across many facilities is more economical than seat-based enterprise licensing.

Key Facts & Sources

The load-bearing figures in this document, with source and as-of date. Scores in the comparison matrix are author assessments synthesised from these sources and are labelled as such where they appear.

Basis note on the comparison matrix: the 1–5 scores are the author's synthesis and are not vendor-published. Where independent review depth is scored 1–2, the underlying sample is fewer than roughly 20 public reviews and the vendor's other scores rely more heavily on vendor materials and analyst coverage; buyers should weight reference calls accordingly.