Quantiphi
Alternative: Productised AI vs Custom Consulting Engagement

Quantiphi is an AWS Advanced Partner AI/ML consulting firm (USA / India HQ, est. 2013) delivering custom AI/ML solutions across multiple industries: financial services, healthcare, public sector, manufacturing, and engineering / energy. Engagement model is custom build per client: scope-tailored solution development, typically $180K-$1M per engagement with 5-month implementation timelines. Strong AWS technical depth + ML engineering benchstrength. Engineering-document-AI engagements are one service line within a broader portfolio; not productised.

Different commercial models. Quantiphi: custom consulting engagement ($180K-$1M) with 5-month implementation. Pathnovo: productised credit-based pricing (full platform included on every paid tier) with 48-hour first delivery + transparent published pricing. For 80%+ of EPC + owner-operator engineering document AI use cases (where the workflow is well-understood + the document scope is well-defined), Pathnovo's productised model is materially faster + cheaper + lower-risk than Quantiphi's custom build. For 20% of use cases requiring genuinely bespoke AI/ML scope outside Pathnovo's productised workflows, Quantiphi remains a valid consulting alternative. See pricing for plans.

Three scenarios. (1) Custom AI/ML scope outside engineering documents: financial services AI, healthcare AI, public sector AI, custom NLP for legal documents, Pathnovo does not address these; Quantiphi does. (2) Bespoke client requirements where productised tools genuinely do not fit: proprietary document formats, custom domain ontologies, custom regulatory regimes that Pathnovo does not support out-of-the-box. (3) Clients with significant existing AWS investment + ML engineering team expecting consulting-led integration: Quantiphi's AWS-native delivery model is the obvious fit. For these scenarios, Quantiphi is the right choice. For mainstream engineering document AI workflows on EPC + owner-operator engagements, Pathnovo's productised model is faster + cheaper.

Pre-certified data feeds out-of-the-box. Pathnovo's extraction output is delivered in CFIHOS 2.0 + ISO 15926 native format, plus pre-certified format adapters for SAP PM S/4HANA equipment master CSV, IBM Maximo asset register XML, AVEVA AIM data feed, Hexagon HxGN SDx2 data take-on schema, Bentley iTwin schema, Cognite Data Fusion data model, Wrench SmartProject MDR, Oracle Aconex transmittal feed. Standard integration ships with the productised platform; custom format mapping configured per client at project kickoff at no extra fee. Quantiphi's typical custom-engagement model requires consulting-led integration on top of the AI/ML build (typically $50K-$200K + 2-3 months); for clients committed to specific AIM platforms, Pathnovo's pre-certified path is materially faster.

Pathnovo provides 99.5% contractual field-level accuracy SLA with remedy clause + named-customer benchmarks (McDermott live: 10,247 tags / 600 P&IDs / 99.5% measured accuracy). Quantiphi's accuracy commitments are project-specific; consulting engagements typically include accuracy targets in statement-of-work but not contractual remedy clauses comparable to Pathnovo's productised SLA. For procurement + finance teams comparing risk-adjusted total cost, Pathnovo's contractual SLA is materially de-risking on the engineering accuracy commitment.

AWS Marketplace listing is in progress per the Pathnovo partnership roadmap. Pathnovo's AWS deployment options include: AWS Riyadh region (Saudi NCA + IT-1100 alignment for Aramco ecosystem), AWS Bahrain (regional Gulf data residency), AWS Frankfurt EU (GDPR / EU sovereignty), AWS Singapore (SE Asia data residency). For owner-operators + EPC contractors with strict AWS-only deployment requirements, BYOC (bring-your-own-cloud) deployment in customer's AWS tenant is supported via Pathnovo's deployment-options model.

For tier-1 Indian PSU engagements requiring formal vendor empanelment + Indian PSU rate-card pricing + consulting-style commercial model wrapper around the productised platform, Pathnovo's Scale and Enterprise tiers combine the credit-based platform with consulting-led account management + dedicated delivery team + on-site presence at critical project milestones. This addresses Indian PSU procurement preferences while preserving the productised SLA + accuracy + cost benefits. Quantiphi's typical $180K-$1M consulting engagement is not commercially viable for most Indian PSU procurement scope; Pathnovo's productised tier model is materially better fit. See pricing for plans.

Yes, on multi-scope engagements. For a complex digital transformation programme with both engineering document AI scope (Pathnovo's productised workflow) and broader AI/ML consulting scope (Quantiphi's custom build), the two can run in parallel without functional overlap: Pathnovo handles the engineering document layer; Quantiphi handles other AI/ML scope (e.g. predictive maintenance ML, custom analytics dashboards, custom NLP). Different scopes; no functional overlap on the engineering document side specifically. For pure engineering document AI engagements, Pathnovo replaces Quantiphi's engineering-AI scope; Quantiphi's other AI/ML scopes may continue serving non-engineering workflows.