01
Document classification
Routing and triage for mailrooms, support queues, and compliance review at scale.
Artificial intelligence
Language understanding at enterprise scale.
Classification, extraction, semantic search, and conversational AI across contracts, claims, tickets, and clinical records — built on modern transformer and LLM stacks.
What we build
02
Entity extraction
Structured data pulled from unstructured text — parties, dates, amounts, clauses, codes.
03
Semantic search
Meaning-based retrieval across your knowledge base, with citations and access control.
04
Conversational AI
Chat and voice assistants grounded in your content and integrated with your systems.
How we deliver
Step 01 — Assess
Use-case discovery, data and platform readiness, and a business case with measurable outcomes for NLP.
Step 02 — Build
Senior-led delivery in weekly increments — architecture, security, and quality gates baked into every sprint.
Step 03 — Operate
Production monitoring, SLAs, and continuous improvement through our managed services team in Chennai.
Tools & platforms
ClaudeOpenAIspaCyHugging FaceElasticsearchPineconePython
In depth
Natural language processing for the documents that run your business
Enterprises run on unstructured text: contracts, claims, clinical notes, emails, support tickets. NLP turns that text into structured, searchable, actionable data. We build extraction, classification, summarization, and semantic-search systems that read at machine speed with human-verifiable accuracy.
Modern NLP blends transformer models and LLMs with the unglamorous engineering that makes them reliable: document parsing across PDFs and scans, entity resolution against your master data, confidence scoring, and reviewer workflows for the cases models should not decide alone. Our systems route the confident 80% automatically and queue the rest — cutting processing time while keeping accountability.
Typical deployments include claims intake for insurance, clinical documentation for healthcare, and contract analysis paired with AgreeSign. Where generation is needed, we pair NLP pipelines with generative AI under the same evaluation discipline.
Any document, any format
PDFs, scans, faxes, emails — parsing and OCR tuned to your real document mix.
Confidence-routed workflows
High-confidence cases automate; edge cases queue for human review with full context.
Master-data aware
Entities resolve against your systems of record, not free-floating strings.
Frequently asked questions
Have a different question? Talk to an engineer, not a salesperson.
How is this different from a chatbot product?
We build on your data, your systems, and your compliance rules — the result is an asset you own, not a subscription you configure.
Does it work for non-English content?
Yes — modern multilingual models handle major Indian and European languages well; we benchmark on your actual documents first.
What volumes can it handle?
Pipelines scale horizontally; we routinely process tens of thousands of documents per day on modest cloud footprints.