Innodata
Innodata is based in Ridgefield Park, USA and works in Prompt Engineering for Livestock & Animal Production, with further work in Natural Language Processing and Computer Vision.
- Average rating
- —
- Reviews
- 0
- Profile coverage
- 70%
- Evidence percentile
- P51
Profile updated · Request a correction
Company & commercials
- Primary category
- LLM Agents & RAG
- Team size
- Not disclosed
- Typical budget
- Not disclosed
- Primary industry
- Agriculture, Forestry & Food Systems
What Innodata does best.
LLM Agents & RAG provider for Agriculture, Forestry & Food Systems
Innodata provides end-to-end generative AI solutions, specializing in model training, fine-tuning, and document intelligence, leveraging global subject-matter experts to deploy models for enterprises and leading tech partners. Its own website shows its strongest capability in Prompt Engineering within LLM Agents & RAG, alongside Generative AI Development and Retrieval-Augmented Generation. The industry it describes most is Livestock & Animal Production.
4 platforms & methods
Bars show how many mapped capabilities use each one.
- Generative AI1 capability
- LLM1 capability
- Document Intelligence1 capability
- RLHFProfile only
Evidence report
How Innodata compares with peers on evidence, reviews and coverage.
What the evidence says
Innodata presents as a moderate evidence profile for LLM Agents & RAG. It ranks in the 51st percentile of 1,860 published providers in LLM Agents & RAG, and no reviews on the profile yet.
Current positioning: P51 evidence quality · P96 industry breadthAI capabilities.
AI Ethics & Governance
None of the listed technologies is specific to AI Ethics & Governance.
Mapping source · https://innodata.com/benchmarks — “nfrastructure, governance, and execution maturity. Agentic AI Agentic AI Evaluation & Observability The Complete LLM Safety Ecosystem for Pre-Deployment”
Featured 12 of 43 capabilities, ranked by mapping grade then confidence.
Industries served.
- Livestock & Animal ProductionDirect · Primary90%
https://innodata.com/ — “e Across Industries 1 2 Agritech + Agriculture Crop Yield Prediction, Livestock Monitoring, Plant Disease Detection, Weed Detection and Management, S”
- 80%
https://innodata.com/ — “s. Enabling Domain‑Specific AI Excellence Across Industries 1 2 Agritech + Agriculture Crop Yield Prediction, Livestock Monitoring, Plant Dise”
What clients say.
No independent reviews found for Innodata yet.
Worked with Innodata? Review them → Every reviewer is verified by RankGlobal.
How RankGlobal maps this profile.
RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research — a mapping grade is not a claim of discoverability weight.
- T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
- T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
- T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
- T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed for discovery; weighted accordingly in ranking
Move from discovery to a focused conversation.
Your enquiry goes to the RankGlobal research team, not the provider's sales inbox. Sending it does not affect their ranking.
- Primary category
- LLM Agents & RAG
- Primary industry
- Agriculture, Forestry & Food Systems
- Typical budget
- Not disclosed
- Team size
- Not disclosed
- 1Name the use caseSay which LLM Agents & RAG problem you are evaluating, so the research team can route your message accurately.
- 2Pressure-test the budget bandNo budget band is on file. Ask what a scope like yours typically lands at.
- 3Ask for a referenceRequest a client reference in Agriculture, Forestry & Food Systems — the strongest industry signal on this profile.
Enquire about Innodata
Three fields. Anything longer belongs on the full contact page, linked below.Is this your company? Claim this profile →
Similar profiles
Agix TechnologiesTop Rated · Delaware, United States5.0(49 reviews)AI systems engineering company that designs, deploys, and stewards production-ready agentic AI systems…10-49 employees · $5K - $15KView →
YellowTop Rated · San Francisco, United States5.0(60 reviews)Yellow is a development company that creates bespoke software and AI-driven solutions for YC startups and S&P…50-249 employees · Not disclosedView →