Extract intelligence
from your text data.
Named entity recognition, sentiment analysis, document parsing. LLM-powered. 50+ systems shipped.
Afnexis Results
50+
NLP systems shipped
across 10+ countries
3h→5min
document processing
FinanceLink Australia
4-8 wks
to production
avg. timeline
4.9/5
client rating
30+ clients
WHAT WE BUILD
Which NLP system do you need?
Document Intelligence
Extract entities, dates, amounts, and clauses from contracts, invoices, and medical records. Structured output every time.
Sentiment Analysis
Classify customer reviews, support tickets, and social media. Route negative sentiment before it escalates.
Semantic Search
Find the right document even when keywords don't match. Embeddings-based search with re-ranking.
Multilingual NLP
50+ languages. VoxSonus processes multilingual media content on this stack. Automatic language detection.
Text Classification
Route support tickets, flag compliance issues, categorize leads. Multi-label classification with confidence scores.
Speech to Text and Analysis
Transcription with speaker diarization, keyword extraction, and automated summaries from meeting audio.
By Muhammad Aashir Tariq · CEO & Head of AI, Afnexis · Updated April 2026
REAL RESULTS
Numbers from real deployments.
3h→5min
document processing
FinanceLink Australia
50+
NLP systems shipped
in production
50+
languages supported
multilingual builds
4.9/5
client rating
30+ clients
"FinanceLink's onboarding processed documents in 3 hours manually. We automated it with NLP. Now it's under 5 minutes."
CTO · FinanceLink Australia · Financial Services
HOW IT WORKS
From call to production in weeks.
Data Review
We look at your documents, understand the extraction schema, and assess data quality.
Build and Eval
We build the pipeline, test against held-out examples, and hit the accuracy target before deploying.
Integrate
API endpoint or direct DB write. Structured data flows into your CRM, database, or downstream system.
PRICING
Fixed price. No surprises.
Ranges from 50+ real projects. Milestone billing. No retainers.
| Project Type | What's Included | Timeline | Starting At |
|---|---|---|---|
| Document Extraction | Named entity recognition, structured output, API | 2-4 weeks | $10K |
| Classification Pipeline | Multi-label text classification, confidence scores, routing | 3-5 weeks | $15K |
| Search and Retrieval | Semantic search, embedding index, re-ranking, API | 3-6 weeks | $20K |
| Full NLP Platform | Multi-task NLP system with monitoring, retraining, multilingual | 8-14 weeks | $60K |
FAQ
Quick answers.
Do I need my own labeled training data?
Not necessarily. For many NLP tasks we fine-tune on pre-trained models with a small labeled set. We'll tell you exactly how much data you need during scoping.
How accurate is the extraction?
Depends on document structure and quality. For structured docs like invoices, we hit 97%+. For unstructured legal docs, 85-93% is typical. We set targets before we start.
Can it handle scanned PDFs?
Yes. OCR preprocessing (Tesseract or AWS Textract) is included in the pipeline for scanned documents.
What languages do you support?
Any language supported by the base model we fine-tune on. We've deployed in English, Arabic, French, Spanish, German, and Mandarin.
READY TO START?
Let's build your first agent.
30-min call. No pitch. We map the workflow and quote it.