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Foresight

AI-powered predictive schedule analytics for megaprojects

Foresight is a predictive project delivery platform for large capital infrastructure programs such as hyperscale data centers, power, and advanced manufacturing facilities. It ingests Primavera P6 and Microsoft Project schedule files and applies machine learning to forecast completion dates, flag schedule risk early, and automate progress reporting across a portfolio of concurrent projects.

$25M Series A led by Macquarie Capital Venture Capital (announced March 2026); co-investors Creandum, ISAI Build (a Bouygues Group-backed VC fund), i2BF Global Ventures, and Somersault Ventures. Amount of the prior seed round is not publicly disclosed, so total lifetime funding is understated by that figure raisedGrowth Stage
Founded 2018 · Named enterprise customers/testimonials include Ramboll, Compass Datacenters, and Skybox Datacenters (vendor-published quotes, not independently verified case studies). Vendor claims to serve "1 in 5 data center owners" - an unverified marketing claim with no disclosed methodology. Exact customer count not publicly specified; company reports 11-50 employees per LinkedIn, and its first Series A ($25M) closed 8 years after founding, which is a slower funding trajectory than the headline round size alone suggests
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Why This Tool Exists

The Problem

Project controls teams on large capital infrastructure programs manually reconcile Primavera P6 or Microsoft Project schedules against field progress, producing static, backward-looking reports. On megaprojects this can take an estimated 40 hours per month of manual work, and delays and cost drivers often surface only after they have already compounded.

The Solution

Foresight ingests P6/MS Project schedule files and continuously validates them against reported progress, applying machine learning - which the vendor says is trained on over 1 million real-world construction activities - to forecast best-case, worst-case, and most-likely completion dates for every activity and milestone, flag emerging delay risk early, and auto-generate executive-ready progress reports and portfolio-level dashboards.

How You Use It

Delivery Method
SaaSWeb App
Integrations
Oracle Primavera P6 (schedule file ingestion)Microsoft Project (schedule file ingestion)Microsoft Excel (reporting/export)No publicly documented integration with Procore, Autodesk Construction Cloud, or other field-management/BIM platforms was found
Disciplines
Project Phases
Preconstruction, Construction Administration
Project Types
Commercial, Infrastructure, Industrial

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Project schedule file (Primavera P6 or Microsoft Project)
Optional:Field progress updates, Cost/budget data, Portfolio-level data across multiple concurrent projects
Formats:Primavera P6 (XER/XML), Microsoft Project (MPP), Excel
Output
What you get
Format:Interactive web dashboard with predictive analytics, plus exportable custom reports
Fields:Schedule quality score, Best-case/worst-case/most-likely completion forecasts per activity and milestone, Delay risk flags and root-cause drivers, Portfolio-level progress rollups, Custom executive reports
Algorithm
How it works
Model:Proprietary machine learning models (architecture not publicly disclosed); vendor states the models are trained on over 1 million real-world construction activities
Accuracy:Vendor claims completion forecasts are "2x more accurate" than traditional bottom-up schedules and that customers see a "30% reduction in cost overruns." Methodology, sample size, and benchmark dataset are not published, so these figures should be treated as unverified marketing claims
Privacy
How your data is protected
Retention:No fixed public retention period. Privacy policy states personal data is retained "consistent with the original purpose of collection," and that for Platform customers, retention is governed by the customer contract and the customer's own data retention policy
Training:Not publicly specified - the privacy policy does not state whether customer project/schedule data is used to train Foresight's machine learning models
Compliance:Privacy policy discusses GDPR applicability and legal bases for processing EU/EEA/UK personal data but does not claim a formal GDPR certification, No SOC 2, ISO 27001, or other third-party security certification found on Foresight's own site. Note: a SOC 2 Type II claim surfaced in research belongs to a different, unrelated company also branded "Foresight" (foresight.ai) and does not apply to this vendor (foresight.works)
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented

Use Cases

  • ·Building reliable baseline schedules for hyperscale data center and capital infrastructure programs in days rather than months
  • ·Forecasting best-case, worst-case, and most-likely completion dates for individual activities and overall project milestones
  • ·Flagging emerging schedule risk and delay drivers early enough for project teams to intervene
  • ·Automating executive-ready progress reports to reduce manual reporting workload
  • ·Giving owners, investors, and EPCs portfolio-level risk and progress visibility across concurrent capital projects

Pricing

Free
Not offered - no free tier found
Pro
Not publicly listed - sales-led pricing via "Talk to our team" contact form
Enterprise
Custom pricing, contact sales
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Research Sources & Data QualityLast verified: 2026-07-17
Verified Data (12)
problem, solution, deliveryMethod, foundersAndLeadership, yearFounded (2018), headquarters (London), fundingRound (Series A $25M, named investors), namedCustomerTestimonials (Ramboll, Compass Datacenters, Skybox Datacenters), privacyDataLocation, employeeCount (11-50, LinkedIn), coreProductModules, scheduleFileFormats (P6, MS Project)
Not Found (8)
api-documentation, pricing, exact-total-funding (prior seed amount undisclosed), exact-customer-count, SOC2/ISO-certification, AI-model-training-data-usage-policy, accuracy-benchmark-methodology, named-third-party-platform-integrations-beyond-P6/MS-Project
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.