https://solverminds.com/_next/static/chunks/0skg9qpcqq53_.js

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1,{label:"Optimizers",href:"/optimizers"},{label:"Liner Resource Planning (LRP)",href:"/liner"},{label:"SEDGE — analytics",href:"/sedge"}]},{slug:"soc-2-attestation-2026",title:"Solverminds completes SOC 2 attestation",subtitle:"An independently audited Service Organization Control attestation — the right complement to ISO 27001 for enterprise procurement teams running diligence on a SaaS supplier.",excerpt:"Solverminds completed its SOC 2 attestation in 2026, adding to the existing ISO/IEC 27001, CMMI Level 3 and ISO 14064-1 accreditations.",category:"Accreditation",publishedOn:"2026-05",publishedDisplay:"May 2026",accent:"blue",body:[{paragraphs:["Solverminds has completed its SOC 2 attestation. SOC 2 — Service Organization Control 2 — is the most widely recognised security framework for SaaS suppliers, covering the controls a service organisation has in place around security, availability, processing integrity, confidentiality and privacy.","The attestation matters most for clients running their own procurement diligence on SaaS suppliers — particularly in North American and European markets, where SOC 2 is a near-universal requirement on the security questionnaire."]},{heading:"What it covers",paragraphs:["The audit assesses how Solverminds operates against the Trust Services Criteria — not just whether controls are written down, but whether they are functioning across the audit window. Operating-effectiveness testing was performed across the security, availability and confidentiality criteria.","Re-attestation runs annually. Clients can request the SOC 2 report under NDA through their account contact."]},{heading:"Where it sits alongside the existing accreditations",paragraphs:["SOC 2 joins ISO/IEC 27001:2013 (information security management), CMMI Level 3 (capability maturity for software engineering) and ISO 14064-1:2006 (greenhouse-gas accounting). Four certifications now, each independently audited, each with a documented re-certification cycle."]}],related:[{label:"Security & trust",href:"/trust"},{label:"About Solverminds",href:"/about"}]},{slug:"iso-14064-ghg-certification-2023",title:"Solverminds achieves ISO 14064-1:2006 GHG conformance",subtitle:"An independently verified greenhouse-gas inventory at the organisation level — relevant for clients reporting Scope 3 emissions across their supplier base.",excerpt:"Solverminds achieved conformance to ISO 14064-1:2006 in 2023, completing an independently verified inventory of greenhouse-gas emissions and removals at the organisation level.",category:"Sustainability",publishedOn:"2023-01",publishedDisplay:"2023",accent:"emerald",body:[{paragraphs:["Solverminds has achieved conformance to ISO 14064-1:2006, the international standard for quantifying and reporting an organisation's greenhouse-gas (GHG) emissions and removals. The certification covers the company-wide operational footprint and is independently verified.","The accreditation matters most for enterprise clients who are themselves disclosing Scope 3 emissions across their supplier base. A supplier with a GHG inventory aligned to ISO 14064-1 provides defensible data for those clients' own reports rather than self-reported estimates."]},{heading:"What it covers",paragraphs:["ISO 14064-1 standardises how an organisation defines its inventory boundary, quantifies emissions by category (direct, indirect from imported energy, and other indirect), and structures the resulting reports. The categories map to what an external auditor or a client's sustainability team will expect to see."]},{heading:"Where it sits alongside the existing accreditations",paragraphs:["ISO 14064-1 joins ISO/IEC 27001:2013 (information security) and CMMI Level 3 (capability maturity) — both of which Solverminds has held and re-certified across multiple cycles. The trio covers data, process and environmental disclosure with externally audited evidence in each case."]}],related:[{label:"Security & trust",href:"/trust"},{label:"About Solverminds",href:"/about"}]},{slug:"dubai-office-cmmi-reaccreditation-2021",title:"Solverminds opens Dubai office and re-accredits CMMI Level 3",subt

1itle:"Two milestones in the same year — the Group HQ moves to Dubai, and the CMMI process maturity certification is renewed for another cycle.",excerpt:"Solverminds opened its Dubai office in 2021 and re-accredited its CMMI Level 3 certification in the same year — the second formal CMMI cycle since first accreditation in 2015.",category:"Office expansion",publishedOn:"2021-01",publishedDisplay:"2021",accent:"blue",body:[{paragraphs:["2021 brought two organisational milestones for Solverminds. The Dubai office opened as the Group HQ, joining existing presences in Chennai (engineering and delivery), Singapore (ship management), Hamburg, and South Korea. And the CMMI Level 3 accreditation — first awarded in 2015 — was renewed for another cycle."]},{heading:"Why Dubai",paragraphs:["Dubai sits at a natural junction for the maritime industry — close to the bunker markets of the Gulf, with direct customer reach across the Indian Ocean and the Mediterranean trades. Establishing the Group HQ there put the leadership closer to the clients those trades depend on."]},{heading:"What CMMI re-accreditation actually means",paragraphs:["CMMI Level 3 — formally CMMI for Development (CMMI-DEV/3) — means that engineering and project-management processes are characterised across the organisation rather than being individually competent. A re-accreditation cycle restates that the standard has been maintained, not just achieved once and abandoned.","For enterprise clients evaluating Solverminds in procurement, the re-accreditation is the difference between a one-time achievement and a sustained engineering discipline. The latter is what matters for multi-year ERP deployments."]},{heading:"Concurrent product launches",paragraphs:["The same year also saw the launch of i-Nautix and DISTILL, expanding the ship-management product portfolio. Both shipped to production in 2021 and have been deployed since."]}],related:[{label:"About Solverminds",href:"/about"},{label:"Ship management",href:"/ship-management"},{label:"Security & trust",href:"/trust"}]},{slug:"sedge-ai-ml-platform-launch-2017",title:"SEDGE — ML & AI platform launched",subtitle:"The launch of SEDGE in 2017 added Solverminds' cloud-based analytics platform — the foundation that later supported OptiBox forecasting and SONATA stowage planning.",excerpt:"SEDGE — Solverminds' cloud-based ML and AI analytics platform — launched in 2017, giving liner carriers their first integrated analytics layer over the ERP backbone.",category:"Product launch",publishedOn:"2017-01",publishedDisplay:"2017",accent:"cyan",body:[{paragraphs:["In 2017 Solverminds launched SEDGE, a cloud-based machine-learning and AI analytics platform built specifically for liner shipping. SEDGE became the analytics layer that sat on top of the existing ERP — and the foundation that later products including OptiBox and SONATA were built against."]},{heading:"Six concrete operational areas",paragraphs:["The launch positioned SEDGE around six operational areas where AI can produce measurable cost reduction in liner operations: port cost reduction, bunker hedging, asset deployment, box repairs, demand forecasting, and intermodal logistics. Each one was a domain where carriers had previously been making decisions on hunch rather than on data."]},{heading:"Why the timing mattered",paragraphs:["Container shipping in 2017 was beginning to digest the implications of consolidation, slow-steaming, and alliance restructuring. The carriers that came out of that period in better shape were the ones with data they could actually act on. SEDGE shipped into that window."]},{heading:"What it became",paragraphs:["Later products built on SEDGE technology include OptiBox (empty container repositioning, 2021) — explicitly noted as "backed by SEDGE technology" in the OptiBox whitepaper — and the AI-augmented modules of OptiFleet and the TANKER Optimizer. The 2017 launch was the foundation; everything since has been the extension."]}],related:[{label:"SEDGE",href:"/sedge"},{label:"OptiBox",href:"/optimizers/optibox"},{label:"SEDGE AI for liner shipping",href:"/white-papers/sedge-ai-for-liner-shipping"}]}];e.s(["NEWS",0,t,"NEWS_CATEGORIES",0,["Industry event","Product launch","Accreditation","Office expansion","Sustainability"],"getNewsArticle",0,function(e){return t.find(t=>t.slug===e)}])},6601,e=>{"use strict";let t=[{slug:"astra-dg-bot",product:"ASTRA DG Bot",productFamily:"AI Products",accent:"violet",headlineMetric:"30 min → 50 sec",headlineLabel:"Dangerous goods validation, automated",teaser:"AI bot reads shipper emails and PDFs, cross-checks every booking against the live IMDG knowledge base — 50 seconds end-to-e

1nd.",industry:"Container Line",industryShort:"Container Line",region:"Middle East",fleetScale:"200+ daily DG requests across 8 specialists",challenge:{lead:"30% of DG booking requests were being lost, delayed beyond cutoff, or abandoned in manual processing before a specialist ever reviewed them.",bullets:["Compliance officers manually cross-referenced safety data sheets against IMDG, SOLAS and MARPOL — 15 to 45 minutes per booking.","At 200+ daily requests across 8 specialists, queues stretched to 24 hours; bookings missed vessel cutoffs.","Under time pressure near cutoffs, teams defaulted to rejection — losing compliant cargo that could legally have been accepted.","Audit trail scattered across email, spreadsheets, ERP records and shared folders."]},approach:{lead:"Deployed ASTRA DG Bot — an intelligence layer between booking input channels and the carrier's ERP, with expert decision control retained.",bullets:["Multi-channel ingestion: emails (PDF/Excel/Word/text), web portals, API feeds, EDI messages.","AI data extraction in 20 seconds — UN numbers, hazard classes, quantities, flash points, marine-pollutant status.","Parallel validation in 30 seconds — IMDG Code, SOLAS stowage, port restrictions, carrier-specific rules.","Expert makes the final call; full digital audit trail attached."]},results:[{metric:"30 min → 50 sec",label:"Per-booking validation time"},{metric:"30% → 0%",label:"DG bookings lost in manual queues"},{metric:"80% → 100%",label:"Expert time spent on decisions, not data extraction"},{metric:"70-85% → 100%",label:"Audit trail completeness"}],productsUsed:["ASTRA DG Bot","ASTRA Suite"],deploymentTime:"4 weeks integration · 4 weeks parallel validation · then live",roi:"Phased rollout — expert-supervised processing from week 9"},{slug:"sonata-multi-port-stowage",product:"SONATA",productFamily:"Optimizers",accent:"emerald",headlineMetric:"4 hrs → 30 min",headlineLabel:"Multi-port stowage planning",teaser:"Planners get 2–4 hours per port to allocate cargo manually — and almost no time left to optimize. SONATA produces the plan in under 30 minutes, so the time goes back into refinement.",industry:"Feeder Operator",industryShort:"Feeder",region:"Asia-Pacific",fleetScale:"Hub-and-spoke network · 30+ ports",challenge:{lead:"Vessel planners get the cargo list 24 hours before arrival and owe the terminal a plan 8 hours before operations. That leaves 2 to 4 hours of manual allocation — and almost no time left to optimize.",bullets:["Allocating containers into charted bays manually, then re-adjusting for reefers, DG cargo and special containers, consumed the entire planning window.","Three-port rotations required balancing cargo weight, stability, lashing limits and port sequence by hand.","Plans that looked optimal on paper degraded in practice when real cargo deviated from forecast — and there was no time to re-plan."]},approach:{lead:"Replaced manual planning with SONATA's optimization engine — predictive analytics, ML, and high-level algorithms producing a complete plan in under 30 minutes.",bullets:["Generates the full stowage plan in under 30 minutes, so the 2–4 hours go back into refinement and stress-testing.","Real-time stability, strength and lashing calculations baked into the planning logic.","Automated IMDG dangerous-cargo segregation as a hard constraint.","Multi-port planning and round-voyage analysis on one model — no opaque manual iterations."]},results:[{metric:"2–4 hrs → 30 min",label:"Time to a complete stowage plan"},{metric:"IMDG hard",label:"Dangerous-cargo segregation enforced automatically"},{metric:"Multi-port",label:"Round-voyage analysis on one model"},{metric:"Lower",label:"Operating costs · port dwell time · restow"}],productsUsed:["SONATA"],deploymentTime:"Live in 8 weeks",roi:"Operational from day one"},{slug:"sedge-executive-intelligence",product:"SEDGE Analytics",productFamily:"AI Products",accent:"violet",headlineMetric:"6 cost levers",headlineLabel:"AI applied to where the cost actually sits",teaser:"Port costs, bunker hedging, asset deployment, box repairs, demand forecasting, intermodal — six concrete cost areas, one analytics platform.",industry:"NVOCC",industryShort:"NVOCC",region:"Asia-Pacific",fleetScale:"Multi-trade-lane operator",challenge:{lead:"Carriers know that bunker is 50–60% of total operating cost — but the data needed to act on it sits in five systems, and the analysis is done in spreadsheets weeks after the event.",bullets:["Bunker decisions made on the last quoted price, not the full picture of futures (NYMEX, IPE) plus spot Rotterdam / Singapore.","Port-call sequencing chosen on routine, not on historical congestion data — overtime and anchorage charges compounded on the wrong day of the week.","Cargo demand forecasting done lane-by-lane in Excel; no port-pair-level forward view to drive vessel deployment.","Equipment repair quotes accepted at face value because nobody had time to compare against historical depot data."]},approach:{lead:"Deployed SEDGE — Solverminds' cloud-based AI analytics platform — targeted at six operational cost areas where AI delivers measurable savings.",bullets:["Port cost reduction — avoid expensive weekend overtime and anchorage charges via historical congestion data.","Bunker hedging — model crude / petroleum futures alongside spot Rotterdam and Singapore on one screen.","Asset deployment — predictive algorithms across seasonal port constraints, weather, tidal patterns, surplus / deficit scenarios.","Cargo demand forecasting — LSTM deep-learning across port-pair combinations, weekly granularity.","Box repair costs — regression model against historical depot data, used as a negotiation platform.","Intermodal logistics — landside congestion and cost-fluctuation analysis across ports, rail, road."]},results:[{metric:"6 areas",label:"Concrete AI cost-reduction levers"},{metric:"~40%",label:"Bunker as share of total cost — now an active hedge"},{metric:"LSTM",label:"Deep-learning demand forecasts per port-pair"},{metric:"Cloud",label:"Always-on platform; no on-prem deployment"}],productsUsed:["SEDGE Analytics","Data layer"],deploymentTime:"Cloud SaaS · subscription-based",roi:"Cost savings across all six operational areas"},{slug:"optibox-empty-repositioning",product:"OptiBox",productFamily:"Optimizer

1s",accent:"emerald",headlineMetric:"4th largest cost",headlineLabel:"Empty repositioning — the line item the carrier eats",teaser:"Empty repositioning sits behind only bunker, terminal and charter hire as a cost line. Unlike laden moves, the consumer doesn't pay — the carrier does.",industry:"Liner Operator",industryShort:"Liner",region:"Trans-Pacific & Asia-Europe",fleetScale:"Significant trade-lane imbalance",challenge:{lead:"A typical empty-repositioning problem spans 15 container options, 3.7 million parameters, 1.2 million variables and 600 thousand equations — and most carriers solve it regionally, on spreadsheets.",bullets:["Coordinators take several days to find a workable solution by hand — trial and error against domain experience, no formal optimization.","Decisions about where to send empties were made by trade-lane managers in isolation; the network was constantly out of balance.","Bloated stock levels, idle storage fees, M&R costs and unclear on/off-hire decisions all compounded.","Historically up to 27% of fleet running costs sat in this line — most carriers still manage it on outdated systems."]},approach:{lead:"Replaced regional spreadsheets with OptiBox's network-wide optimization — running four layers from external data through to an executable repositioning plan.",bullets:["External data layer — historical records, EMS routing, index costs, on/off-hire, M&R, depot storage, vessel schedules.","Business rules and master data — port pairs, transit days, hiring limits, vessel capacity, transit time profiles.","Demand forecasting and modelling — laden + empty forecasts, global equipment imbalance with per-port safety stock.","Optimized results — surplus → deficit moves that satisfy every constraint, costed in advance, surfaced geographically.","What-if simulation and Plan vs Actuals built in — see the financial impact before committing, then compare to execution."]},results:[{metric:"4th-largest",label:"Cost line in liner shipping (after bunker, terminal, charter hire)"},{metric:"Days → mins",label:"Repositioning plan compute time"},{metric:"Global",label:"Network-wide optimization vs regional spreadsheets"},{metric:"What-if",label:"Simulation before commitment · Plan vs Actuals after"}],productsUsed:["OptiBox","SEDGE (underlying technology)"],deploymentTime:"12-week deployment",roi:"Operational savings across M&R, storage, on/off-hire and routing"},{slug:"mack-erp-consolidation",product:"MACK",productFamily:"Ship Management",accent:"blue",headlineMetric:"Many → One",headlineLabel:"Ship-management systems consolidated",teaser:"Crew, technical, procurement, safety and finance collapsed onto one cloud-based ERP with a single data model.",industry:"Ship Management Company",industryShort:"Ship Management",region:"Confidential",fleetScale:"Multi-vessel managed fleet",challenge:{lead:"Shore offices typically run on separate systems that don't talk to each other.",bullets:["Crew, technical, procurement, safety and finance each sit in their own database.","Reconciliation between systems happens manually — and inconsistently.","Audit prep requires pulling and reconciling data from every system before a single source of truth can be presented.","Department heads can't see across functions; 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