What Natural Language Processing Lab (NLP-Lab) does

NLP-Lab (Natural Language Processing Lab) is an academic research laboratory housed at Indiana University Bloomington, operating under the leadership of Dr. Damir Cavar within the Luddy School for Informatics, Computing, and Engineering. The lab pursues theoretical and applied research in AI and NLP using hybrid empiricist, neural, probabilistic, and knowledge-driven approaches, with particular emphasis on neuro-symbolic modeling, complex-valued hybrid classical/quantum language models, knowledge graphs, ontologies, and large language models. It maintains 20+ active researchers plus 60+ documented alumni, and runs both a general NLP-Lab meeting series and a dedicated Quantum AI Study Group, while organizing the annual Quantum AI and NLP Conference (2025, 2026).

The lab's technical portfolio centers on five artifact families: (1) CBIRD, a proprietary complex-valued BERT-style architecture that runs on classical GPUs and quantum computers without encoding loss and can reportedly represent a 1-trillion-parameter model in fewer than 40 qubits; (2) NLQK, a Quantum NLP library distributed on PyPi and at nlqk.ai; (3) JSON-NLP, a unified interoperability schema with adapter modules for Flair, NLTK, Polyglot, spaCy, and Xrenner, plus RESTful microservices in Java, Python, and Rust; (4) a Knowledge Graph Extraction Pipeline using R2RML/RML/JRML mappings and temporal graph neural networks; and (5) specialized corpora and ontologies including the Hoosier Ellipsis Corpus (HELC), TIE-ML temporal annotation standard, and the NIDA Drug Terminology OWL Ontology. Supporting research projects cover antisemitism/hate-speech detection, substance-abuse AI systems, Parkinson voice detection, ontology learning, Turkic language resources, and discontinuities/non-local dependency processing.

NLP-Lab is not a commercial entity: it has no disclosed revenue, no commercial pricing, and distributes all outputs as open-source via GitHub and PyPi. Its operating model is grant-funded — primarily through the NSF IUCRC Center for Quantum Technologies (CQT, with IU/Purdue/Notre Dame) and the National Institute on Drug Abuse (NIDA) — supplemented by conference organization and academic publication. Customers in the conventional sense are absent; the primary external counterparties are Indiana University, partner universities, and U.S. federal grant agencies, while its user base is the global academic research community in NLP, quantum computing, and healthcare/public-health AI.

Name

Natural Language Processing Lab (NLP-Lab)

Legal name

Natural Language Processing Lab (NLP-Lab)

Website

https://nlp-lab.org

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

1–10 employees

Short description

Academic research lab at Indiana University Bloomington developing hybrid classical/quantum AI and NLP models, open-source tools (CBIRD, NLQK, JSON-NLP), and specialized corpora and ontologies for academic, healthcare, and quantum computing research communities.

Ownership category

akta.pro rank

Product category

Natural Language Processing Software and AI Research Tools

NAICS

Research and Development in the Social Sciences and Humanities (54172), Computer Systems Design and Related Services (54151), Other Scientific and Technical Consulting Services (54169)

SIC

Services-Commercial Physical & Biological Research (8731), Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Knowledge Graphs, Ontologies & Entity Resolution (HDAAADAI)

akta.pro secondary industries

NLP Developer Tools & Evaluation (prompting, testing, benchmarks) (HDAAADAK), Question Answering & Retrieval-Augmented Generation (RAG) (HDAAADAC), Moderation, Safety & Toxicity Detection (HDAAADAH)

Keywords

• Natural language processing
• Quantum NLP research
• Open-source NLP libraries
• Knowledge graph extraction
• Ontology learning tools

Headquarters

HQ city

Bloomington

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Academic Research Grants: The lab operates primarily through university funding and research grants. The CQT (Center for Quantum Technologies) is an NSF IUCRC (Industry/University Cooperative Research Center) grant involving IU, Purdue, and Notre Dame. NIDA (National Institute on Drug Abuse) grants fund the Drug AI and Ontology project. The lab also participates in undergraduate research experiential learning funding.
2. Academic Conference Organization: The lab organizes the annual Quantum AI and NLP Conference (e.g., QNLP.AI 2025, August 14-16, 2025 at IU Indianapolis; QAI 2026, August 14-16, 2026 at IU Indianapolis). Conference organization may generate revenue through registration fees and sponsorships.

Go-to-market motion1 record

Distribution channels4 records

Marketing channels6 records

Core offering

NLP-Lab is an academic research laboratory at Indiana University Bloomington that develops open-source software tools, annotated corpora, and ontologies for Natural Language Processing and Quantum AI. Its core deliverables include the CBIRD hybrid classical/quantum language model, the NLQK quantum NLP library, the JSON-NLP interoperability schema, knowledge graph extraction pipelines, and specialized linguistic and drug terminology resources, all released as open-source software to the global research community.

Product overview

NLP-Lab is a research group at Indiana University Bloomington offering a portfolio of software tools, corpora, knowledge resources, and research projects primarily focused on Natural Language Processing, Knowledge Graphs, and Quantum AI. The core products include: CBIRD, a hybrid classical/quantum BERT-based language model; the Natural Language Qu Kit (NLQK), a quantum NLP library; the JSON-NLP Schema with adapter modules for multiple NLP libraries (Flair, NLTK, Polyglot, spaCy, Xrenner); and a Knowledge Graph Extraction Pipeline supporting R2RML/RML/JRML mappings and graph-RAG. Supporting resources include the Hoosier Ellipsis Corpus (HELC), TIE-ML temporal annotation standard, the NIDA Drug Terminology OWL Ontology, and Turkic language resources. The group also runs the Quantum AI Study Group as a separate research focus and offers NLP RESTful microservices for pipeline processing. Research projects span antisemitism/hate-speech detection, substance abuse knowledge systems, ontology learning, and discontinuities processing.

Differentiator

Problem solved

Functional benefit

Products and services

• CBIRD (Complex Bidirectional Inducer for Representation Dynamics) A hybrid complex-valued language model based on the BERT architecture implementing complex-valued transformers, tensors, and attention heads. Compatible with classical GPU-based computing and quantum computers (QPU systems) without encoding loss, and usable as a state-of-the-art text diffusion model and BERT-style bidirectional encoder-only model. Designed for NLP and AI researchers working on hybrid classical/quantum computing.
• Natural Language Qu Kit (NLQK) A Quantum Natural Language Processing (QNLP) library providing tools for quantum NLP experiments and hybrid classical/quantum AI model development. Published on GitHub and PyPi for global developer access. Aimed at researchers and developers working on quantum NLP.
• JSON-NLP Schema

Quantifiable outcome

• CBIRD can represent a 1-trillion-parameter model using fewer than 40 qubits in the hybrid classical/quantum architecture
• +2 more outcomes

Named customers5 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration23 records

AI capability9 records

Feature6 records

Partnerships

Six partnerships are on record, tiered core and minor.

• Center for Quantum Technologies (CQT) - Indiana University, Purdue University, University of Notre DamecoreStrategic or Co-development PartnerCQT is an NSF Industry/University Cooperative Research Center (IUCRC) focused on quantum technologies. The NLP-Lab's Quantum NLP project is directly funded through this center. The CQT grant officially kicked off in May 2024. The lab participates in quarterly CQT meetings (e.g., at Notre Dame) and presents research on hybrid classical/quantum AI models including CBIRD.
• Indiana University Public Health (Dr. Danny Valdez)coreStrategic or Co-development PartnerJoint project on substance abuse knowledge and AI systems. Danny Valdez from Public Health at IU collaborates on the NIDA Drug Ontology project and substance abuse social media analytics. This collaboration bridges computer science NLP research with public health applications.
• Indiana University Luddy School for Informatics, Computing, and EngineeringcoreStrategic or Co-development PartnerThe NLP-Lab is housed within the Luddy School at Indiana University Bloomington. The school provides office space (Luddy Hall), research infrastructure, and administrative support. Faculty including Dr. Damir Cavar, Dr. Zoran Tiganj, and Dr. Danny Valdez are affiliated with the school.
• Indiana University Quantum Science and Engineering Center (QSEc)minorStrategic or Co-development PartnerQSEc at IU provides additional quantum research infrastructure and collaboration opportunities. The lab maintains connections with QSEc alongside the CQT NSF center.
• Indiana University Quantum Technologies for Everyone (QuTE) Student ClubminorStrategic or Co-development PartnerQuTE is a student club at IUB focused on quantum technologies for everyone. The NLP-Lab collaborates with QuTE, presenting at Quantum Day 2024 organized by the club.
• Artificial Intelligence and Informatics Consortium (AI2)minorStrategic or Co-development PartnerAI2 is a consortium at IU Indianapolis. The NLP-Lab participates in AI2 events and provides transportation from Bloomington to Indianapolis for members interested in AI2 activities.

Scale indicators5 records

Recent moves6 records

Expansion highlights6 records

Others

• Neo4j: Leading graph database platform used in NLP-Lab's knowledge-graph extraction pipeline. Adjacent infrastructure peer providing the substrate on which the lab's KG/RAG work runs rather than a direct competitor.

Direct peers

• Carnegie Mellon University Language Technologies Institute (LTI): Major academic NLP/speech/language research institute producing frontier research and open-source tools. Directly comparable as a research-led NLP organization with similar publication cadence and student/talent pipelines.
• MIT CSAIL (NLP and Language Research Groups): Flagship academic AI/NLP research lab producing frontier language research with deep quantum computing and linguistics adjacencies. Comparable as a hybrid academic research organization with multi-disciplinary scope similar to NLP-Lab's quantum+linguistics positioning.
• Johns Hopkins University Center for Language and Speech Processing (CLSP): Long-running academic center for language and speech research with strong industry and government research ties. Comparable to NLP-Lab as a federally-funded NLP research hub producing open tools and datasets.
• Explosion AI: Creator of spaCy, one of the most widely adopted industrial-strength NLP libraries, and Prodigy for annotation. Direct peer on the open-source NLP developer-tools axis where NLP-Lab's JSON-NLP and pipeline modules compete for developer mindshare.
• Allen Institute for AI (AI2): Nonprofit AI research institute producing open-source models, datasets, and benchmarks with strong academic grounding. Closely comparable to NLP-Lab in mission (open, research-led AI), output type (open-source releases, publications), and organizational ethos.
• University of California, Berkeley NLP Group: Academic NLP research group with strong publication record and contributions to large language model research. Comparable as a research-led NLP organization producing open-source artifacts and training next-generation researchers.
• Stanford NLP Group: Premier academic NLP research lab publishing at ACL/EMNLP, releasing widely used toolkits (CoreNLP, Stanza), and training generations of NLP researchers. Most directly comparable on the academic-NLP-research axis with similar open-source tooling output.

Broad incumbents

• Hugging Face: Dominant NLP/AI platform hosting models, datasets, and Spaces with Transformers library as the de facto standard. Comparable on open-source NLP tooling distribution and developer ecosystem, though at vastly larger scale and commercial scope.

Emerging players

• Quantinuum: Leading quantum computing company with explicit focus on quantum natural language processing (lambeq, QNLP). Most directly comparable commercial entity on the quantum NLP axis where CBIRD and NLQK are positioned.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/dcavar/nlp-lab.github.io
• LinkedInlinkedin.com/company/nlp-lab

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Natural Language Processing Lab (NLP-Lab)