Documents and calls in.
Clean ERP data out.
Delkara turns the documents and phone calls flooding into operations-heavy businesses into clean, actioned data inside their ERP — automatically.
Invoices arrive by email. Delivery notes arrive by WhatsApp. Purchase orders arrive as a photo of a printed page. Someone still opens each one, reads it, and types it into ERPNext by hand.
Every operations-heavy business runs on an autonomous back office.
One connected system, not a menu of services.
AI Opportunity Sprint
A paid discovery sprint: workflow audit, data-quality assessment, one working proof-of-concept on your real documents, an ROI model, and a build roadmap.
The de-risking entry point — never free, because free pilots attract non-buyers.
Three Systems
Document AI pipelines, workflow & conversational agents, and vision systems — engineered directly into your ERP.
Three lines. One integration surface: your ERPNext instance.
Managed AI Operations
Every deployed system stays on subscription: monitoring, model and prompt updates, an accuracy SLA, exception handling, new-format onboarding.
AI systems drift. This is the antidote — and the core discipline of the company.
Three systems, engineered into your ERP.
Document AI Pipelines
Email, WhatsApp, and scan intake → OCR → LLM extraction → validation → posted directly into ERPNext or your accounting system, with an exception queue for humans.
- Manual entry costs
- Month-end delays
- GST / e-invoice compliance
- Unsearchable document archives
Workflow & Conversational Agents
RAG assistants over your SOPs, catalogs, and policies. Agentic workflows that act — creating ERP records, sending follow-ups, escalating — over WhatsApp or web chat.
- Tribal knowledge trapped in PDFs
- Repetitive customer & vendor queries
- Slow internal escalation paths
Vision Systems
LPR gate automation, vehicle and inventory counting, visual inspection — tied into the ERP so a gate entry auto-creates a delivery record.
- Manual gate logging
- Inventory counts by hand
- Inspection records disconnected from ERP
Delkara’s actual pipeline — not abstract AI graphics.
Hover a node to see what it does. This is the real path a document takes, end to end.
DocCapturefor ERPNext
A Frappe app: forward an invoice, receipt, or purchase order by email or WhatsApp, and it becomes a draft Purchase Invoice, Expense, or Sales Order — extracted fields, confidence-scored review screen, one click to post.
Measured, not marketed.
India and the Gulf. Operations-heavy, ERP-native.
High-volume purchase invoices, multi-branch reconciliation, vendor statements.
Cross-border paperwork, LCs, multilingual supplier documents.
Purchase orders, goods receipts, quality inspection records tied to production.
Gate entries, delivery notes, e-way bills, driver and vehicle documentation.
Discover to Scale, on your live ERP.
Discover
Workflow audit and data-quality assessment on your real documents.
Design
Map the exact pipeline: intake channel, extraction targets, ERP posting logic.
Build
Engineer the pipeline against your live ERPNext instance, not a sandbox.
Deploy
Go live with an exception queue — humans review what the model flags.
Optimize
Tune extraction accuracy against production data, close the SLA gap.
Scale
Onboard new document formats, branches, and document types under Run.
The confidence comes from the narrowness.
Big agencies won't touch this deal size
Delkara is built for 500–20,000 documents a month — a scale enterprise transformation firms consider too small to staff.
Freelancers can't do ERP-deep integration plus fine-tuned extraction
This work requires both Frappe/ERPNext depth and applied extraction-model expertise. Rarely the same person.
ERPNext partners don't do AI
Implementation partners know the ERP. They don't build extraction pipelines or agentic workflows on top of it.
Measured accuracy, inside your ERP, priced per document
Not "we do AI." A defined accuracy metric and a Run plan attached to every engagement.
- Distributors, traders, manufacturers, and logistics firms
- 500–20,000 documents a month
- Already on, or moving to, ERPNext
- Based in India or the Gulf
- Run by an owner or ops head who feels the manual entry pain daily
- Enterprises seeking SOC 2-grade transformation programs
- Teams wanting horizontal "AI for everything" platforms
- Businesses without an ERP, or with no intent to consolidate on one
- Anyone looking for foundation-model R&D
“Placeholder — real client testimonials will appear here once published, with attribution.”
“Placeholder — real client testimonials will appear here once published, with attribution.”
“Placeholder — real client testimonials will appear here once published, with attribution.”
Straight answers.
No — that focus is deliberate. Depth in one ERP ecosystem is what makes the extraction and integration work reliable. It's also why we say no to work outside the niche.
No, it's a paid engagement. Free pilots attract prospects who were never going to buy. The sprint is priced to filter for businesses that are serious about fixing the problem.
It moves to Run — our managed AI operations subscription. Every deployed system is monitored, maintained against an accuracy SLA, and updated as new document formats appear.
500 to 20,000 documents a month is the sweet spot. Below that, the economics rarely justify a custom pipeline; above it, you're likely better served by an enterprise transformation firm.
Yes — Malayalam, Hindi, and Arabic are active working languages for us, reflecting the actual documents operations teams in India and the Gulf process daily.
Start with the Opportunity Sprint
Every operations-heavy business runs on an autonomous back office. Yours can start in two weeks.
A paid, two-week engagement: workflow audit, data-quality assessment, one working proof-of-concept on your real documents, an ROI model, and a build roadmap.