Most company knowledge is locked inside PDFs, contracts, tickets and regulations across five languages. We build NLP pipelines with hybrid BM25+vector search, split-storage encryption and schema-locked JSON extraction.
WHAT WE BUILD WITH NLP & DOCUMENT AI
Stop paying staff to read PDFs, retype invoices or hunt through folders. We turn unstructured text and documents into clean database actions.
Invoices · POs · Customs · Claims Read messy vendor PDFs, bills of lading, customs declarations and insurance claims, cross-check math totals and post clean rows into SAP, NetSuite or Logo.
Automate document reading
MSAs · Leases · NDAs · RFPs Scan 80-page contracts, leases or tender documents in seconds: extract renewal dates, liability caps and non-standard clauses with exact page links.
Scope contract review AI
Split-Storage Encrypted RAG Ask questions in plain language and get answers cited strictly from your authorized files: using split-storage encryption so raw text stays encrypted.
Build our search engine
Email · Tickets · WhatsApp · Reviews Classify incoming emails and tickets by topic, urgency and language, mask sensitive customer PII and prepare a grounded reply draft for your agent.
Automate inbox triage
20+ Languages · Locked Glossaries Translate thousands of product descriptions, help articles, contracts or courses across European, US and Middle Eastern languages without losing technical terms.
Automate localization
Sales Calls · Support · Reviews Transcribe sales and support calls, score rep compliance automatically and extract the top product complaints and competitor mentions into your CRM.
Mine calls & reviewsLIVE INPUT → OUTPUT TRANSFORMER
"Either party may terminate this Agreement upon sixty (60) days written notice. Aggregate liability under Section 9 shall not exceed EUR 250,000.00, excluding gross negligence. Renewal occurs automatically on 14 November 2026."
{
"notice_period_days": 60,
"liability_cap_eur": 250000.00,
"auto_renewal_date": "2026-11-14",
"carve_outs": ["gross_negligence"],
"field_confidence": 0.98,
"source_citation": "MSA_v4.pdf · §9.2, p.11"
} "Hi, my name is Lukas Weber (IBAN DE89370400440532013000, tel +49 170 9821143). Our production workspace #8841 is throwing 502 errors on checkout since 09:15 CET. Need urgent rollback."
{
"sanitized_text": "Hi, my name is [PERSON_1] (IBAN [IBAN_REDACTED], tel [PHONE_REDACTED]). Our production workspace #8841 is throwing 502 errors...",
"intent": "incident.checkout_outage",
"priority": "P1_CRITICAL",
"route_to": "oncall-sre-eu",
"pii_leaked_to_llm": false
} "Does tax deduction rule SKV-402-B apply to cross-border SaaS invoicing under €15,000 when the buyer holds a valid VAT ID?"
[ "1. [BM25 + Vector · rerank 0.96] Statute §14 (SKV-402-B): Cross-border B2B electronic services are reverse-charged when the recipient provides a verified VIES VAT identifier, regardless of the €15,000 threshold.", "2. [Citation Verified ✓] Source: Tax_Code_2026.pdf (p.42) · Decrypted from split-storage for authorized role: tax_analyst" ]
Proven on regulated tax and banking corpora: your vector database never holds plaintext customer documents. Source passages are decrypted in memory only after role verification.
Scope split-storage RAGPure embedding search blurs exact alphanumeric codes. We combine sparse BM25 with dense vectors and cross-encoder reranking for 95%+ top-5 recall.
Upgrade search precisionWe constrain token generation to your exact Pydantic/JSON schema and verify that line items sum to invoice totals before writing to your ERP.
Automate document JSONNLP ARCHITECTURE
Search that understands both meaning and exact part numbers.
We combine BM25 keyword search, dense vector embeddings, metadata filters and cross-encoder reranking so users find the right clause, product or ticket in milliseconds.
Keep vector embeddings separated from encrypted source text.
For banking, tax, legal and healthcare corpora, we separate the vector index (ChromaDB / Qdrant / pgvector) from Fernet-encrypted source passages in SQL, decrypting in memory only after role authorization.
Pull dates, obligations, line items and parties into clean database rows.
Schema-constrained extraction pipelines with per-field confidence scores and a fast side-by-side operator UI for the 10% of cases that need human eyes.
Sort tickets, scrub sensitive identifiers and translate with locked glossaries.
Fast encoder models (DeBERTa / RoBERTa) classify urgency and mask PII locally before any text reaches an external LLM, across 12+ languages.
WAYS TO START
Benchmark retrieval recall and extraction accuracy on your real documents.
Full hybrid search, split-storage encryption and citation verifier integrated with your app.
Strip sensitive data and route incoming text in under 200ms.
Adjacent disciplines
Customer and internal assistants wired into your daily workflows.
RoutingCustom AI agents, voice AI, private company RAG and workflow automation.
PipelinesDocument ingestion, CDC streams and vector index maintenance.
OCR & DocsYOLO region detection, U-Net stamp cleanup and Siamese signature verification.
Parse · Retrieve · Cite
Share a sample document workflow or search problem under NDA. We reply with an architecture plan within one business day.