See Every Site.
Know Every Detail. Build Beyond Expectations.

SitePulse AI is an intelligent construction monitoring and analytics platform that empowers project teams to track progress, ensure safety, control costs and make data-driven decisions in real time eliminating the "Logistics Value Gap" that drains UK SME contractors of margin.

SitePulse AI · Live Engine

Construction Intelligence Dashboard

LIVE
MR
Material Readiness Score 94% ↑ ON TRACK ✓
CD
Construction Dependency Graph 24 Active Projects
LD
Labour Downtime Reduction ↓26% idle hours
SC
Safety Score 98 · Excellent ✓
25%
UK Construction Productivity Gap Closed
SitePulse AI · Predictive Engine · Active
The UK Construction Logistics Crisis

UK Construction SMEs Are Losing Millions to
the "Logistics Value Gap".

Over 70% of UK site managers say material-related downtime is their single greatest variable for profit erosion. SitePulse AI is the predictive logistics intelligence infrastructure that turns fragmented supply chain data into a coordinated operational layer protecting margins, reducing idle labour, and ensuring compliance.

25%
Productivity gap in UK construction SMEs driven by reactive coordination and fragmented logistics management
80%
Of all material deliveries still manually checked on-site a bottleneck that chokes growth and increases site management costs
48h
Site managers spend 2–4 hours daily chasing materials or managing logistics via manual spreadsheets and phone calls
£B+
Lost annually to "hidden" operational waste delivery failures and the resulting labour idleness across UK construction SMEs
Core Intelligence Modules

Six Capabilities. One Complete Construction Intelligence Platform.

SitePulse AI combines AI Visual Monitoring, Progress Tracking, Safety Management, Cost Management, Resource Optimisation, and Smart Reporting into one unified SaaS platform no complex hardware, no enterprise ERP overhead, real-time predictive logistics intelligence.

Real-Time DetectionReal-Time Detection
AI Visual Monitoring
Module 01

AI Visual Monitoring

Computer vision tracks progress on schedules, detects anomalies, and identifies site-level delivery bottlenecks before they become costly delays.

The AI Monitoring engine uses computer vision to track progress and detect construction site anomalies in real time. The system ingests live site constraint data crane availability, storage capacity, unloading windows and identifies exactly which activities are at risk of delay. Plain-language alerts explain why a delivery is flagged as high-risk, preventing reactive firefighting.
Progress TrackingProgress Tracking
Real-Time Progress Tracking
Module 02

Real-Time Progress Tracking

Real-time insights on schedules, milestones and deliverables linking procurement data directly to live site execution across every active project.

The Progress Tracking module eliminates the "data lag" where site reality doesn't match system records. It connects raw material procurement schedules with real-time site constraints, automatically modelling every order against crane availability, storage limits, and access windows removing manual spreadsheet tracking entirely.
Safety ManagementSafety Management
Safety Management
Module 03

Safety Management

Identify hazards, ensure compliance and promote a safer workplace with immutable audit-ready logs for Building Safety Act 2022 and CDM Regulations.

SitePulse AI's Safety Management module maintains a non-alterable audit trail for regulatory enquiries, demonstrating that all material installation was backed by certified, ready-to-use materials and adequate site conditions. Full compliance with UK GDPR, Building Safety Act 2022, and CDM Regulations 2015 is built into the core platform architecture.
Why SitePulse AI

Built for the Predictive Era.
Not Just a Delivery Tracker with an AI Badge.

Construction Dependency Graph

Proprietary graph modelling maps each material to the specific work activity, labour crew, subcontractor and cost code that depends on it ensuring supply chain risks map directly to project critical paths.

Material Readiness Score

Automatically determines if a material is truly ready for use analysing supplier history, lead-time variance, site storage capacity and unloading availability, not just whether dispatch has left a warehouse.

Labour Downtime Cost Calculator

Quantifies the exact financial exposure of logistics failure by calculating idle labour costs, equipment standing time and programme knock-on impact connecting material risks directly to P&L.

Frictionless SME Integration

Model-agnostic API design sits on top of existing tools (Procore, Sage, Xero) without vendor lock-in. SMEs deploy in hours, not weeks no enterprise ERP overhead or corporate IT approvals.

ESG & Sustainability Impact

Reduces construction-related carbon emissions by 15–25% per project through precise optimisation of material logistics and elimination of redundant "emergency" supply deliveries across the UK.

Construction Logistics Network

Federated learning architecture allows anonymised benchmarking across thousands of UK contractors giving every SME access to regional supplier reliability intelligence without sharing private project data.

About Us

Built by Construction Operators Who Lived the Problem.
Designed for the Predictive Logistics Era.

SitePulse AI is a UK-based B2B SaaS venture co-founded by Ramakrishna Vobilishetti and Kiran Baddeli combining deep civil engineering and SAP MM procurement expertise with enterprise-grade DevOps architecture to solve the most pressing challenge facing UK construction SMEs: the "Logistics Value Gap" that leaves site teams reactive, margins eroded, and supply chains fragmented.

Vision & Mission

To Be the Global Standard for
Predictive Construction Intelligence.

Our Vision

We aspire to be the global standard for predictive construction intelligence, fostering a future in which contractors operate with total operational sovereignty, consistent site reliability, and sustainable, data-driven project delivery protecting UK firms from supply chain volatility.

Our Mission

To empower UK construction SMEs to leverage predictive logistics, standardise their material-ready workflows, and maximise project profitability by using SitePulse AI to eliminate material-related downtime and protect operational margins across every project.

Core Values

What Drives Everything We Build

Innovation

Ongoing development of SitePulse AI's predictive algorithms and dependency models in tandem with evolving UK construction technology standards and "Construction 2025" mandates.

Precision

Commitment to granular data integrity and eliminating "hidden" logistics waste through accurate site-level modelling linking every material risk to a measurable commercial consequence.

Sovereignty

Enabling contractors to own their site-logistics intelligence as a proprietary business asset, securing their operational competitive advantage even through staff turnover and project transitions.

Efficiency

Bringing complex predictive logistics to every construction SME with simple "plug-and-play" interfaces that fit directly into existing site workflows without enterprise ERP complexity.

Empowerment

Enabling SME construction founders with the predictive foresight to scale project delivery capacity without the complexity and cost of traditional enterprise ERP overhead.

ESG Impact

Reducing construction-related carbon emissions, democratising logistics intelligence to benefit the UK construction economy, and protecting institutional memory during high staff turnover.

Founder Fit

Exceptional Founder–Product–Market Alignment

RV

Ramakrishna Vobilishetti

Founder & CEO · Domain & Operations

Ramakrishna's career spans civil engineering at NCC Limited, SAP MM consulting at V2 Value Biz Solutions, and Amazon logistics operations. This rare combination of field-level site engineering and enterprise supply chain management gives him first-hand, ground-level experience of the financial impact of material delays and procurement inefficiency. His Amazon logistics experience provided deep knowledge of inventory management and high-velocity supply chain management ensuring SitePulse AI solves real-world bottlenecks rather than theoretical ones. He leads the Construction Dependency Graph framework, logistics intelligence benchmarking, and site pilot oversight.

KB

Kiran Baddeli

Co-Founder & CEO · Cloud & Platform Engineering

Kiran has over 13 years of experience in technical leadership in cloud infrastructure and DevOps with a proven track record of building scalable data platforms at Nationwide Building Society and Tech Mahindra. He has built robust CI/CD pipelines, orchestrated multi-node cloud clusters and deployed safe tokenisation and infrastructure-as-code making SitePulse AI's "Construction Dependency Graph" and predictive engines solid, secure and production-ready for high-volume use. His Python, shell scripting, SQL, and RDBMS expertise is vital to managing the proprietary site-constraint modelling engine at scale.

Full Platform

Six Core Capabilities.
One Predictive Construction Command Centre.

Every feature is built specifically for the UK construction SME environment not retrofitted from generic project management tools. Our proprietary Construction Dependency Graph and predictive engines translate complex supply chain risks into actionable, compliance-ready site intelligence.

Real-Time DetectionReal-Time Detection
Construction Dependency Graph
Capability 01 · Dependency Intelligence

Construction Dependency Graph

Proprietary graph modelling that maps each material to the specific work activity, labour crew, subcontractor and cost code that depends on it ensuring supply chain risks map directly to project critical paths.

The Construction Dependency Graph captures the hidden causal relationships between every material, work activity, and labour team. If a steel beam delivery is identified as high-risk, SitePulse AI maps that delay directly to the concrete pour schedule and the specific labour crew tasked with installation enabling site managers to reallocate resources instantly and eliminate the "logistics tax" of idle labour before it becomes a P&L consequence.
Material Readiness ScoreMaterial Readiness Score
Material Readiness Score
Capability 02 · Readiness Scoring

Material Readiness Score Engine

Automatically determines if a material is truly ready for use analysing supplier history, lead-time variance, site storage capacity and unloading availability, not just delivery status.

The AI-powered Material Readiness Score engine transforms raw supplier updates into actionable operational availability scores. When a procurement coordinator places an order, the platform automatically models it against site constraints such as crane availability, storage capacity and unloading windows eliminating the need for manual spreadsheet tracking and the 80% manual on-site checking bottleneck.
Labour Downtime CalculatorLabour Downtime Calculator
Labour Downtime Calculator
Capability 03 · Financial Forensics

Labour Downtime Cost Calculator

Removes the need to re-sequence manually on a spreadsheet automatically calculating the financial exposure of logistics failure including idle labour, equipment standing time and programme knock-on impact.

The Labour Downtime Cost Calculator quantifies logistics risks as hard pound costs. It identifies precisely where a construction sequence breaks down whether due to partial deliveries, damaged goods, or site access restrictions and provides actionable, lowest-cost corrective recommendations. Unlike tracking tools, this is predictive: site managers intervene before a delivery failure becomes a commercial loss on the project P&L.
Predictive Delay-Risk EnginePredictive Delay-Risk Engine
Predictive Delay-Risk Engine
Capability 04 · Risk Modelling

Predictive Delay-Risk Engine

Leverages historical performance data to model multiple supply chain scenarios and determine the best delivery route before any real disruption occurs proactive, not reactive.

The Predictive Delay-Risk Engine simulates supply chain scenarios based on past performance data to find the best delivery route ahead of any real disruption. The system learns to self-calibrate risk scores based on historical material readiness variance UK-specific models trained on groundworks, fit-out, and MEP construction site data to deliver hyper-local predictive power that global platforms cannot replicate.
Site Constraint ModellingSite Constraint Modelling
Site Constraint Modelling
Capability 05 · Site Intelligence

Site Constraint Modelling Engine

Digitises site-specific physical constraints crane slots, gate access, storage capacity ensuring new projects immediately benefit from established site logistics "DNA" without starting from scratch.

The Site Constraint Modelling Engine standardises the onboarding process by capturing site-specific physical constraints into a reusable "Site DNA" template. This means that critical site knowledge crane availability windows, gate access times, storage limits is preserved as an organisational asset even through staff turnover, protecting contractors from the 40%+ logistics intelligence loss that occurs when project managers leave.
Construction Logistics NetworkConstruction Logistics Network
Construction Logistics Network
Capability 06 · Network Intelligence

Construction Logistics Network (CLN)

Federated learning architecture enabling anonymised "Site Operational DNA" from thousands of UK contractors to continuously improve predictive models without sharing sensitive project data.

The Construction Logistics Network (CLN) enables UK contractors to share anonymised benchmarks, giving each SME access to regional trends in supplier reliability without exposing private project data. Successful material readiness patterns from London groundworks projects can improve workflow strategy for Manchester fit-out firms creating a collective intelligence ecosystem that new market entrants would have to build from scratch.
Competitive Intelligence

SitePulse AI vs Key Competitors

Capability SitePulse AI Procore / Buildertrend Oracle / SAP ERP Fleet Trackers
Construction Dependency Graph ✓ Proprietary ✗ No ✗ No ✗ No
Material Readiness Score ✓ AI-Powered ✗ No Partial ✗ No
Labour Downtime Calculator ✓ Real-Time ✗ No ✗ No ✗ No
SME Plug-and-Play Setup ✓ Hours Weeks Months Days
UK-Specific Training Data ✓ Bespoke Generic Generic Generic
Building Safety Act Compliance ✓ Audit-Ready Partial Partial ✗ No
Federated Logistics Benchmarking (CLN) ✓ Network ✗ No ✗ No ✗ No
Market Analysis

A £325 Billion UK Construction Market
Urgently Needs Predictive Logistics Intelligence.

The global construction management software market is expected to reach USD 28.05 billion by 2034 at a CAGR of over 10%. With 93%+ of UK construction firms being SMEs operating on fragmented, spreadsheet-based workflows, the "Logistics Value Gap" represents a massive and immediate commercial opportunity for SitePulse AI.

Market Size & Opportunity

The UK Construction SME Market

UK Construction SAM by Segment

Target addressable market across UK construction SME contractor types (£ Millions)

Logistics Friction Points UK Construction SMEs

Primary operational challenges driving adoption of SitePulse AI

SitePulse AI vs Competitors Capability Radar

Platform capabilities vs existing market alternatives across key logistics dimensions

Global Construction Software Market Growth 2024–2034

Global market growth (USD B) + UK ConTech SME adoption trajectory (%)

Platform Feature Comparison SitePulse AI vs Market Average

Capability scores across key construction logistics intelligence dimensions (out of 100)

Financial Projections

3-Year Revenue Trajectory

£93K
Year 1 Revenue · London pilot sites · £50K founder equity · £8,311 net profit · MVP validation
£418K
Year 2 Revenue · 50–100 UK SME contractors · National rollout · £105,448 net profit · API integrations
£851K
Year 3 Revenue · 200+ contractor firms · £239,634 net profit · EU expansion pilots · CLN scaling
20+
High-value UK-based construction tech and AI operations roles created by Year 5 at platform maturity
How It Works

From Reactive Spreadsheets
to Predictive Logistics Governance

SitePulse AI operates as a closed-loop logistics lifecycle capturing, benchmarking, sequencing, and continuously evolving your site's operational DNA, so every delivery decision is grounded in real predictive intelligence, not reactive firefighting and manual phone-call chasing.

The 6-Phase Logistics Intelligence Lifecycle

A Complete Construction Logistics Intelligence Loop Not Just a Delivery Tracker

Phase 01 · Assess

Establish Your Site Logistics DNA Baseline

SitePulse AI ingests your site data project programmes, procurement schedules, staffing patterns, supplier history, and physical site constraints (crane slots, gate access, storage capacity) to build a comprehensive "Site Logistics DNA" baseline for every construction project.

The Assessment phase surfaces the hidden cost of unmanaged material logistics, giving you a precise, data-driven view of your "Logistics Value Gap" before any intervention is deployed.

CSV / API Data Ingestion Baseline Logistics DNA Report Zero Hardware Required
Real-Time DetectionReal-Time Detection
Phase 01 · Assess Baseline
Construction Dependency GraphConstruction Dependency Graph
Phase 02 · Dependency Map
Phase 02 · Map

Build the Construction Dependency Graph

The platform's proprietary Construction Dependency Graph captures the hidden causal relationships between every material, work activity, labour team, subcontractor, and cost code creating the structural backbone for predictive logistics on your project.

For each project, the system builds a dynamic dependency profile so it knows exactly the right combination of lead time, storage availability, and labour readiness required for successful delivery to site.

Proprietary Graph Modelling Critical Path Mapping Labour-to-Material Links
Phase 03 · Score

Generate Material Readiness Scores

The AI-powered Material Readiness Score engine transforms raw supplier updates into actionable operational availability scores. Every delivery is scored against supplier reliability, lead-time variance, and real-time physical site constraints.

This moves UK SMEs away from the 80% manual on-site checking bottleneck automatically determining whether a material is truly "usable" before it reaches the site gates.

Supplier Reliability Scoring Real-Time Site Constraints Automated Availability Check
Material Readiness ScoreMaterial Readiness Score
Phase 03 · Score
Predict Delay RisksPredict Delay Risks
Phase 04 · Predict
Phase 04 · Predict

Predict Delay Risks Before They Hit Site

The Predictive Delay-Risk Engine uses historical performance data to model supply chain scenarios and identify the most efficient delivery route prior to any real disruption transforming reactive coordination into proactive execution.

Site managers receive plain-language alerts explaining exactly why a delivery is flagged as high-risk and what corrective action is recommended enabling immediate resource reallocation before idle labour costs accumulate.

Scenario Simulation Corrective Recommendations Pre-Disruption Alerts
Phase 05 · Quantify

Quantify the Financial Impact in Real Time

The Labour Downtime Cost Calculator automatically calculates the financial exposure of logistics failure idle labour costs, equipment standing time, and programme knock-on impact connecting every material risk to a measurable pound-sterling consequence.

Construction business owners gain the same strategic "logistics intelligence" used by large-scale enterprise contractors, enabling margin-protection decisions at the speed of modern construction.

P&L Impact Analysis Idle Labour Costs Equipment Standing Costs
Labour Downtime Cost CalculatorLabour Downtime Cost Calculator
Phase 05 · Quantify
Governance and GrowthGovernance and Growth
Phase 06 · Govern & Grow
Phase 06 · Govern

Govern Compliance and Build Logistics Equity

SitePulse AI maintains an immutable, audit-ready digital log of supply chain transparency enabling UK construction SMEs to comply with the Building Safety Act 2022 and CDM Regulations through verified, legally defensible supply chain records.

As every project feeds back into the Construction Dependency Graph, the platform builds permanent "Logistics Equity" converting temporary coordination knowledge into a lasting organisational asset that compounds over time.

Building Safety Act Compliance Audit-Ready Reporting Logistics Equity Growth
FAQ

Frequently Asked Questions

Everything UK construction SME contractors need to know about SitePulse AI's predictive logistics intelligence platform.

What is SitePulse AI and why does my construction firm need it?

+
SitePulse AI is a predictive construction logistics intelligence platform specifically designed for UK SME construction contractors groundworks, fit-out, MEP, and housing renovation firms. Unlike generic project management software or basic delivery trackers, SitePulse AI deploys a "logistics intelligence layer" that captures, benchmarks, and forecasts the hidden causal logic of construction supply chains before they result in project-delay costs. The platform eliminates the "Logistics Value Gap" where contractors lose significant margin to idle labour and stalled projects because materials arrive late, incomplete, or when the site cannot receive them. It delivers a measurable ROI within the first weeks of deployment through reduced idle labour, improved delivery compliance, and faster site management administration.

How quickly can we deploy SitePulse AI on our construction sites?

+
Deployment is designed to be immediate and frictionless for UK SMEs. The platform intentionally uses simple CSV or API data inputs in the early phase meaning a pilot site can be fully operational within days, not weeks, without waiting on enterprise IT approvals or complex integrations. The "Site-Logistics Node" configuration template is standardised after the first pilot, making the onboarding cost of subsequent SME contractor clients very low. Full API integrations with UK construction tools (Procore, Xero, Sage, Buildertrend) are available and activated post-pilot validation. In our pilot programme, site managers achieved "Logistics Proficiency" the ability to accurately forecast the week's site needs within 10 days of system go-live.

How does the Construction Dependency Graph work?

+
The Construction Dependency Graph is SitePulse AI's proprietary causal modelling framework, developed by Ramakrishna Vobilishetti and Kiran Baddeli. It maps each material to the specific site activity, labour crew, and cost code it affects. When a procurement coordinator logs an order, the system automatically models it against real-time site constraints crane availability, storage capacity, unloading windows. If a material is identified as high-risk, the platform instantly "maps" that delay to the concrete pour schedule and the specific labour crew tasked with installation, enabling managers to reallocate resources before idle labour costs accumulate. The graph becomes more accurate as more UK construction site data is ingested over time.

What results did the pilot programme achieve?

+
Over an 8-week pilot across 5 active UK construction sites, SitePulse AI achieved: (1) 26% reduction in average subcontractor idle hours by identifying delivery risks before they reached the site; (2) 19% improvement in "Operational Usability" rate of deliveries across 450+ test deliveries (ensuring materials arrived only when site access, storage, and equipment were actually ready); (3) Logistics Proficiency achieved within 10 days vs a historical mean of 30+ days of trial-and-error coordination; (4) Customer satisfaction scores of 4.4/5 for Logistics Equity Value and 4.2/5 for Ease of Project Integration. Founding participants also reported measurable reductions in "site-chasing fatigue" among staff.

How does SitePulse AI handle Building Safety Act 2022 compliance?

+
SitePulse AI is specifically designed to meet the requirements of the UK's Building Safety Act 2022 and the Construction (Design and Management) Regulations 2015 (CDM). The platform enables compliance by allowing contractors to track, measure and audit every step of the material supply chain with high-fidelity logs and verifiable project dependency chains. The Construction Dependency Graph provides a non-alterable audit trail for regulatory enquiries, demonstrating that all material installation was backed by certified, ready-to-use materials and adequate site conditions. The platform also captures sensitive project data with secure "Construction Logistics Nodes" and full adherence to UK GDPR and ICO guidance on AI and Data Protection.

Does SitePulse AI integrate with my existing tools?

+
Yes. SitePulse AI is designed as a "model-agnostic" platform that sits on top of your existing construction and business toolset without creating vendor lock-in. The platform integrates via plug-and-play APIs with the UK's dominant construction management and accounting tools including Procore, Sage, Xero, and Buildertrend. This means construction teams have a low-friction entry point that layers directly over their existing project schedules. Initial deployments use simple CSV ingestion to get operational within days; full API integrations are activated as the platform scales into the national rollout phase.

What is the Construction Logistics Network (CLN) and how does it benefit me?

+
The Construction Logistics Network (CLN) is a federated learning architecture that allows UK contractors to share anonymised "Site Operational DNA" from thousands of projects to continuously improve predictive models without sharing sensitive private project data. Every SME on the network benefits from regional supplier reliability trends, benchmarking intelligence, and performance-weighted delivery patterns that would individually cost hundreds of thousands of pounds to generate. For example, successful material readiness patterns learned from London groundworks projects can improve the workflow strategy of Manchester fit-out firms. Access to the CLN is included in the Enterprise Control tier.

What are the pricing tiers for SitePulse AI?

+
SitePulse AI offers three core SaaS subscription tiers: Logistics Core at £80/month per site (basic material scheduling, delivery tracking, schedule visibility); Predictive Architect at £220/month per site (advanced Construction Dependency Graph, labour downtime calculator, supplier reliability scoring); and Enterprise Control at £600+/month (multi-site modelling, site constraint optimisation, CLN benchmarking access). One-time professional fees include Site Setup & API Sync (£390 per project) and Logistics Health Audit (£500 implementation fee). Full details are available on the Pricing page.
Pricing

Transparent SaaS Pricing.
ROI Validated Within the First Weeks.

Every tier is designed to deliver measurable operational return on investment reducing material-related idle labour, improving delivery-to-activity alignment, and generating audit-ready compliance logs that protect project margins and lower contractual risk exposure.

Tier 01
Logistics Core
£80/month per site

Essential material scheduling and delivery tracking for independent contractors and solo builders starting their digital logistics journey.

  • Basic material scheduling
  • Delivery tracking & schedule visibility
  • Basic site metrics dashboard
  • Mobile access for site teams
  • CSV data ingestion
  • Standard compliance reporting
  • Email support
Most Popular
Tier 02
Predictive Architect
£220/month per site

Full predictive logistics intelligence for high-volume groundworks, MEP, and fit-out firms that need to protect margins at scale.

  • Advanced Construction Dependency Graph
  • Labour Downtime Cost Calculator
  • Supplier reliability scoring
  • Material Readiness Score engine
  • Predictive Delay-Risk Engine
  • Full HSE compliance dashboard
  • API integrations (Procore, Xero, Sage)
  • Priority support & onboarding
Tier 03
Enterprise Control
£600+/month

Enterprise-grade multi-site logistics governance for regional developers and multi-site contractors requiring centralised oversight and CLN access.

  • Multi-site modelling & oversight
  • Site constraint optimisation (crane/gate)
  • Construction Logistics Network access
  • Advanced project forensics
  • Cross-site performance benchmarking
  • Dedicated customer success manager
  • Custom reporting & data exports
Professional Add-Ons

One-Time Professional Services

Add-On 01
Site Setup & API Sync
£390 one-time

Complete site-profile configuration, procurement data import, and ERP/Accounting API calibration bypassing corporate IT delays for fast deployment.

  • Site templating & DNA configuration
  • Procurement data import
  • API calibration (Procore/Sage/Xero)
  • Onboarding training for site managers
Add-On 02
Logistics Health Audit
£500 one-time

Custom site constraint modelling, historical delay forensics, and team-wide "Predictive Logistics" training to maximise platform ROI from day one.

  • Custom constraint modelling of legacy sites
  • Historical delay forensics & audit
  • Team-wide Predictive Logistics training
  • Logistics Value Gap analysis report
Contact & Demo

Request a Platform Demo.
See SitePulse AI Live on Your Project Data.

Our personalised demos show your site's actual Logistics DNA baseline, live Construction Dependency Graph, and compliance audit trail using your real operational context, not generic examples. We demonstrate exactly how the platform reduces idle labour costs and delivers measurable ROI from day one of deployment.

Book Your Platform Demo

Fill in your details and our Logistics Success team will contact you within 24 hours to arrange your personalised demonstration.

Why Book a Demo?

Our personalised demos show your site's actual Logistics DNA baseline, live Construction Dependency Graph, and real-time Labour Downtime Cost analysis using your own project data, not generic examples. We demonstrate how the platform's Construction Dependency Graph, Material Readiness Scoring, and Predictive Delay-Risk Engine work together to reduce idle labour costs, protect project margins, and ensure Building Safety Act compliance.

Email Us sitepulseaiuk@outlook.com
Founders Ramakrishna Vobilishetti & Kiran Baddeli
UK Headquarters London, United Kingdom · Serving UK SME Contractors
Response Time Within 24 hours · Mon–Fri 9am–6pm GMT
Data Privacy UK GDPR · ICO Compliant · Privacy-by-Design
Pilot Programme 8-Week ROI Validated · London SME Construction Sites
Compliance Building Safety Act 2022 · CDM Regulations 2015