Engineering AI Benchmarks
Measured Outcomes, Audited Methodology
Independently audited outcomes vs marketing-grade accuracy claims. Live tier-1 EPC engagement at 10,000+ tag scale: 99.5% measured field-level accuracy, contractually backed. Two further engagements in production builds (names under NDA). Methodology, audit process, and competitor comparison below.
Measured Outcomes
Tier-1 Global EPC Contractor (name under NDA)
Live (Production)Tag-Document Register Extraction
Engagement scale
10,000+ tags
Document scope
Multi-unit P&ID set
Measured field-level accuracy
99.5%
Engagement detail. Live production engagement. Continuous revision-tracked maintenance over the engagement lifecycle. Every tag mapped to every source P&ID with positional context. Output structured into a CFIHOS 2.0 native asset register feeding the customer's downstream asset management workflow. See the anonymised [handover case study](/case-studies/epc-gulf-handover-package).
Methodology. Accuracy measured at field level (each extracted attribute, not document level). Sample-based audit per ISO 2859-1 on randomly selected tags from the full tag set; out-of-spec tags audited and corrected, accuracy recomputed per audit cycle. Audit performed by independent QA engineer with no involvement in extraction. Per-tag audit trail provided with bounding-box source evidence.
Reference availability. Customer name withheld under NDA. Reference call available under NDA on request via the Pathnovo sales channel.
Procurement Customer A (name under NDA)
In BuildP&ID Revision Delta → PO Impact + MR Package Assembly
Procurement scope
$60M+
Workflow scope
Live revision cycle pilot
Target accuracy SLA
99.5%
Engagement detail. Active production build with a procurement customer (name under NDA) on the P&ID revision delta → open PO impact analysis workflow combined with upstream MR package assembly. Pilot scope covers a live revision event on a $60M+ capex procurement programme with 8,000+ open PO lines.
Methodology. Per-revision pilot methodology: upload Rev A + Rev B P&IDs; Pathnovo extracts delta; structured impact report against active PO register; cost impact validated by the customer's procurement engineering team; recovery savings measured against baseline manual MoC review process. Early signals: $6,000-$600,000 of previously-invisible procurement exposure detected per first revision event processed.
Reference availability. Reference will be available on case study publication, pending pilot completion, commercial outcome confirmation and customer approval.
Procurement Customer B (name under NDA)
In BuildBOM Generation + Vendor Datasheet Compliance
Procurement workflow
Multi-vendor RFQ
Document scope
Datasheet compliance
Target accuracy SLA
99.5%
Engagement detail. Active production build with a second procurement customer (name under NDA) on BOM generation from drawings combined with downstream vendor datasheet compliance validation. Multi-vendor RFQ workflow integration with structured deviation reports per vendor.
Methodology. Per-package methodology: BOM extracted from drawing set; MR template auto-populated; vendor RFQ responses received; per-vendor compliance check executed; deviation reports generated. Recovery measured against baseline manual MR + compliance review process at the customer's procurement engineering team.
Reference availability. Reference will be available on case study publication, pending pilot completion and customer approval.
Measurement Methodology
Pathnovo's accuracy claim is backed by methodology, not marketing. Field-level measurement, independent audit, contractual SLA with remedy clause. Verifiable.
Field-Level Accuracy, Not Document-Level
Accuracy measured per extracted attribute (tag, line, equipment, instrument, valve), not per document or per drawing. A single P&ID may have 50-200 extractable attributes; document-level accuracy hides per-attribute performance. Field-level measurement makes the SLA meaningful.
Independent Audit Process
Audit performed by an independent QA engineer with no involvement in the extraction process. Sample size selected per ISO 2859-1 (statistical sampling for inspection by attributes) at AQL 0.65 unless otherwise specified by client. Per-attribute audit trail provided so any out-of-spec attribute is traceable to source.
Contractual SLA with Remedy Clause
99.5% field-level accuracy is contractual, not aspirational. Remedy clause: re-process at no cost and credit the difference if accuracy slips below 99.5% on any audit cycle. Audit cycles run quarterly on production engagements; on-demand audits available for client-driven verification.
Named-Customer Outcomes vs PE-Exam Claims
Other engineering AI vendors (e.g. IntuigenceAI) cite PE (Process Engineering) exam scores as proxy for capability. PE exam tests theoretical knowledge; it does not test extraction accuracy on production engineering documents. Pathnovo's benchmark is the actual extraction outcome on anonymised tier-1 EPC engagements (99.5% measured accuracy) - the engineering reality, not the test-score proxy.
vs Competitor Claims
Other engineering AI vendors cite different proof points: marquee customer redrawing volumes, PE exam scores, horizontal benchmarks. None are equivalent to verified field-level extraction accuracy on production engineering documents. Side-by-side:
IPS iDrawings (published reference case)
Their claim
5,000+ P&IDs converted to SmartPlant format with 'up to 60% cost reduction'
Pathnovo's verified counter
The published outcome is a SmartPlant-format redrawing volume; cost reduction is a marketing claim, not an accuracy measurement. Pathnovo's production outcome is an extracted structured tag-document register with measured 99.5% field-level accuracy, audited.
IntuigenceAI (PE exam claim)
Their claim
81% PE Process Engineering exam pass rate; '8x better than frontier LLMs'
Pathnovo's verified counter
PE exam tests theoretical process engineering knowledge, not extraction performance on production drawings. Pathnovo's production outcome (99.5% measured) is the extraction reality on the actual buyer use case.
Reducto AI (horizontal benchmark)
Their claim
$0.015/page general-purpose document parsing API
Pathnovo's verified counter
Reducto is benchmarked on horizontal document tasks (tables, forms, simple PDFs). Engineering drawings (P&ID symbols, isometric topology, ISA 5.1 conventions) are out of distribution; Reducto degrades sharply on these. Pathnovo's domain-specific accuracy on production engineering documents is not comparable to Reducto's horizontal benchmark.
Hexagon SDx2 (tier-1 LNG reference)
Their claim
$500M+ capex SmartPlant projects
Pathnovo's verified counter
Hexagon's customer scope (SmartPlant-authored content) is a different use case than Pathnovo's (extraction from any source format). Both are real production engagements at scale; comparison requires scope clarification. For brownfield + multi-vendor extraction (where SDx2 cannot operate), Pathnovo's production reference is the relevant proof point.
AVEVA AIM (tier-1 operator references)
Their claim
Multi-year owner-operator AIM programmes at tier-1 scale
Pathnovo's verified counter
AVEVA's customer references are AIM platform deployments (storage + visualisation + operational integration). Pathnovo's role is upstream extraction feeding AIM platforms. The customer's tag-document register (Pathnovo) feeds whichever AIM platform their downstream asset management is on; the two scopes are complementary, not directly comparable.
Per-Workflow Accuracy SLA
99.5% field-level accuracy SLA across every Pathnovo workflow. Each document type has its own measurement methodology; full documentation available on request.
P&ID extraction: 99.5% on tags, lines, instruments, equipment, valves
Isometric MTO: 99.5% on pipe lengths, fitting counts, flange ratings
Mill certificate traceability: 99.5% on heat number, chemistry, mechanical properties
HAZOP register extraction: 99% action capture + 98% field-level extraction
Datasheet extraction: 99.5% on parameter values + 98% on parameter classification
Cross-document verification: 99.5% on tag reconciliation + 99% on discrepancy detection
Tag-document register: 99.5% on tag-to-document mapping
Vendor datasheet compliance: 99.5% on parameter comparison vs MR / PMS spec
Frequently Asked Questions
What does 99.5% accuracy SLA mean exactly?
99.5% of extracted attributes (tags, lines, equipment IDs, instrument loops, IBR-scoped pressure parts, hazardous-area zones) are correct against the source document. Measured at field level, not document level. Sample-based audit per ISO 2859-1 statistical sampling. Independent QA engineer (not extraction team). Contractual remedy clause: re-process + credit if accuracy slips. Most recent audit cycle on the live tier-1 EPC engagement: 99.51% measured.
Are Pathnovo's reference customers named publicly?
Customer names are withheld under NDA. What is publishable is the engagement scope (workflow, scale band, measured accuracy) and the measurement methodology, which is why the anonymised case studies carry the process detail rather than the logo. Reference calls with the customer are available under NDA on request via the Pathnovo sales channel.
Are the in-build engagement references available now?
Both in-build engagements are active production builds. Reference availability is gated on (1) pilot completion, (2) commercial outcome confirmation, (3) client publication approval. Until release, engagement scope is publishable (P&ID revision delta + MR package for one; BOM + datasheet compliance for the other) but detailed customer narrative is held back per pilot-stage NDA.
How does Pathnovo's accuracy measurement differ from competitors?
Three differences. (1) Field-level vs document-level: Pathnovo measures per extracted attribute; many vendors measure per document, which hides per-attribute performance. (2) Independent audit: Pathnovo's audit process uses an independent QA engineer with no extraction involvement; many vendors audit internally. (3) Contractual remedy: Pathnovo's 99.5% is contractual with remedy clause; most vendor accuracy claims are marketing-grade with no contractual binding.
How is Pathnovo's benchmark different from Intuigence's PE exam claim?
PE exam (Process Engineering Principles & Practice) tests theoretical process engineering knowledge: thermodynamics, fluid mechanics, reaction kinetics, distillation, separations. It does not test extraction accuracy on production engineering documents (P&IDs, isometrics, datasheets, HAZOP studies). Pathnovo's benchmark is the engineering reality: actual extraction outcome on a live tier-1 EPC engagement at 10,000+ tag scale with 99.5% measured accuracy. PE exam is a credibility proxy; production extraction is the proof.
Why does Pathnovo publish one deep engagement rather than many small pilots?
The live tier-1 EPC engagement is the deepest production engagement: 10,000+ tags is large enough to be statistically robust (not a marketing pilot of 50 drawings), and the engagement is live and continuous (not a finished-and-archived project). For credibility purposes, one large continuous engagement at 99.5% measured accuracy is more verifiable than ten small pilot engagements at 'up to' marketing claims. As the in-build and future engagements complete and customers approve publication, Pathnovo will publish each as a reference following the same depth standard.
Can clients audit Pathnovo's accuracy independently?
Yes. Every Pathnovo engagement provides per-attribute audit trail with bounding-box source evidence. Client QA engineers can re-audit any sample; results are reproducible from the audit trail. For tier-1 owner-operators with strict procurement standards, on-demand third-party audit (TÜV SÜD, Bureau Veritas, SGS, Lloyd's Register, DNV) is supported with audit fee absorbed by Pathnovo if accuracy validates.
What's the methodology for accuracy measurement on different document types?
P&ID extraction: 99.5% on tags / lines / instruments / equipment / valves; measured per ISO 2859-1 sample-based audit. Isometric MTO: 99.5% on pipe lengths, fitting counts, flange ratings; sample-based audit on randomly selected isometrics. Mill certificate traceability: 99.5% on heat number / chemistry / mechanical properties; per-cert audit with chemistry value verification. HAZOP register extraction: 99.5% on action capture (no missed recommendations) + 98% on field-level extraction. Each document type has its own methodology; full methodology documentation available on request.
Related Pages
Pillar
Tag-Document Register
Live in production with 99.5% measured accuracy.
Learn more
Pillar
P&ID Data Extraction
Core extraction capability with the same 99.5% SLA.
Learn more
Pillar
Asset Information Management
AIM register foundation that the tag-document register feeds.
Learn more
Pillar
Isometric Extraction
99.5% SLA on pipe lengths, fitting counts, flange ratings. Excel S6 #1 ranked workflow.
Learn more
Pillar
Mill Certificate Traceability
180,000+ formats with 99.5% chemistry / mechanical / heat number accuracy.
Learn more
Pillar
HAZOP Safety Intelligence
99% action capture + 98% field-level extraction across 800-3,000 page studies.
Learn more
Alternative
IPS iDrawings Alternative
Compare reference engagements + accuracy claim methodology.
Learn more
Alternative
AVEVA AIM Alternative
AIM platform deployments vs upstream extraction. Complementary.
Learn more
Pricing
Pathnovo Pricing
Credit-based, full platform included on every paid tier. Transparent published tiers across Starter, Professional, Scale, Enterprise.
Learn more
Reviews
Customer Reviews
Customer testimonials beyond benchmark accuracy figures.
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Compliance
Indian EPC Compliance Bundle
IBR + OISD + PESO + CCOE compliance overlay layered on extraction accuracy.
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Trust
About Pathnovo
Company background, leadership, methodology origins.
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