Send us 10 documents from your current project. We extract, reconcile, and show you exactly what we find in 48 hours, before any contract.
If the accuracy isn't what we promised, you owe us nothing.
Connect with Pathnovo to discuss your engineering document intelligence needs.
Email: hello@pathnovo.com
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Our Offices
Bangalore Office
Unit 101, OXFORD TOWERS 139, Old HAL Airport Rd, Kodihalli, Bengaluru, Karnataka 560008
Top 1% on Upwork
AI-Led Document Intelligence
Services as Software
Want to own the capability? We build internal extraction pipelines, agent workflows, and validation UIs trained on your document types, deployed on your infrastructure, operated by your team.
Send us 10 documents from your current project. We extract, reconcile, and show you exactly what we find in 48 hours, before any contract.
If the accuracy isn't what we promised, you owe us nothing.
Some organisations especially in defence, regulated industries, and large operators need document intelligence as an internal capability, not an external service. Data can't leave the network. Models need to be trained on proprietary document formats. Your engineering team needs to operate and improve the system over time. We build it, train it on your documents, deploy it on your infrastructure, and hand it over.
Yes. We build custom extraction pipelines, agent workflows, and validation UIs trained on your document types, deployed on your infrastructure, operated by your team.
Custom-trained models, deployed infrastructure, documentation, training sessions for your engineering and IT teams, and an ongoing support agreement.
Yes. We deploy on your cloud, your on-prem servers, or your air-gapped environment. Full control over data and compute. No external dependencies at runtime.
Same 99.5% accuracy standard as our managed service. Domain engineering review is built into the workflow — not optional.
Typical timeline is 8-16 weeks depending on document type complexity, number of target systems, and custom workflow requirements. Pilot within 2-4 weeks.
GPU-enabled servers for model inference (we specify requirements), standard compute for pipelines, and network access to your EDMS and target systems.
We provide retraining pipelines and documentation. Your ML team can fine-tune models on new document types. We support the first 3 retraining cycles.
Python for ML pipelines, TypeScript/React for UIs, and standard REST APIs. Your team can extend any layer.
Full model versioning with rollback capability. Each model version is tagged with training data, accuracy metrics, and deployment history.
Yes. The platform includes tools for training on new document types. We provide guidance and can do the initial training for new types under a support agreement.
Standard: 24-hour response for critical issues, 72-hour for others. Premium: 4-hour response with dedicated engineer. Custom SLAs available.
Yes. Built for multi-site deployment. One platform, one model repository, multiple facility instances. Central management with local processing.
One-time build fee plus annual support. Typically 40-60% less than outsourcing extraction per-project over a 3-year horizon for organisations with ongoing document volumes.
Yes. 4-week POC on a subset of your documents and one target system. Full accuracy metrics and system integration demonstrated before committing to full build.
Seamless transition. Your trained models and ontologies transfer to our managed infrastructure. No re-training, no data loss.