AI Solutions that Work and Deliver Business Value Now
Lineate helps you train LLMs that know your business. We bring order to your data, structure to your systems, and AI that delivers real value.
Business-Ready AI Solutions
From unstructured data to production-grade AI — Lineate builds practical, integrated, and high-impact AI systems.
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AI Data Engineering & Processing
Transform raw, messy data into structured, AI-ready pipelines that power real-time intelligence.
- Taxonomy & ontology generation
- Data pipelines for unstructured inputs
- Structured document parsing
- MLOps & cloud deployment
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AI Application Development
Move beyond prototypes — deploy generative and ML systems that solve real business problems.
- Generative AI for reports, content & support
- Natural language system queries
- Cloud & infra optimization with ML
- AI agents for domain-specific tasks
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AI Integration
Seamlessly connect AI models to your back-office systems and business processes.
- Natural language access to internal tools
- Generative AI for smarter data retrieval
- AI for test generation & code automation
- Build cloud-native AI applications on top of AWS technologies such as Amazon Q Business
🚀 Example AI Solutions We’ve Delivered
🧠 AI-Enhanced Analytics
Use generative AI to model sentiment, behavior, and context as structured data — so it can be queried, reported, and used across your business systems. Use Case – Cross-Referenced Sentiment Reporting (Hospitality): For a hotel chain, we transformed unstructured reviews into structured location-specific feedback reports — revealing top and bottom customer issues by geography, and correlating amenity spend to sentiment improvements.
💬 Natural Language Financial Reporting
Ask your finance systems questions — and get accurate, explainable answers. We expose business objects and their relationships using generative AI so that teams can generate reports from everyday language, while retaining consistency in data definitions. Use Case – Natural Language Finance Reports: Integrate a GenAI parser with ERP connectors and a translation layer to create reports like: “What were our most profitable service lines last quarter by region?” “Show cost overruns in projects where vendor risk scores > 80.”
🧾 Document Data Extraction & Redaction
Make messy documents usable. Make sensitive data safe. Extract fields from PDFs, forms, and tables — even when layouts vary — and automate PII (Personally Identifiable Information) redaction. Human feedback loops keep improving accuracy. Use Case – Symptom & Vital Signs Extraction (Healthcare): Parse drug trial test reports irrespective of formats and naming conventions, structure the data for analysis, and auto-redact PII.
☁️ Cloud Spend Optimization
Use machine learning to cut cloud costs without cutting performance. Predict and control resource usage in real time with ML-based traffic shaping and routing. Use Case – ML-Powered Traffic Shaping (AdTech): Prevent unnecessary bidder traffic in programmatic ad exchanges by predicting which demand partners won’t bid — saving tens of thousands of dollars per month in bandwidth.
📚 Contextual Content Analysis & Creation
Understand not just what content says — but what it means. Generate taxonomies and ontologies using AI to power contextual ad targeting and in-page creative that naturally fits its environment. Use Case – AI Content Mapping (AdTech): Crawled and analyzed a network of publisher sites to build a multi-layered semantic map and create ad content that mimics tone, sentiment, and structure of each page.
✅ Automated Software Testing
Level-up your QA processes with AI-driven test coverage. Generate test cases before code is written. Identify and fix missing unit tests. Reduce time to release without sacrificing quality. Use Case – AI Test Coverage Assistant (Software): Used GenAI to write hundreds of unit tests across legacy modules, catch gaps, and speed up new dev cycles by pre-generating test scenarios.
👨💻 Deploy AI Talent, Not Just Tools
“Job titles like ‘prompt engineer’ are fading, while companies seek applied, cross-functional AI talent.” – WSJ
With AI job roles in flux, Lineate gives you clarity and results — with ready-to-deploy AI engineers who bring more than one specialty to the table.
AI Solutions Engineer
Skills:
End-to-end model deployment, LLM fine-tuning, API integration
Business Impact:
Launch working AI systems that integrate with your business software
AI Data Engineer
Skills:
Data wrangling, annotation pipelines, feature extraction
Business Impact:
Prepare messy data for AI use — fast and at scale
AI QA & Test Automation Engineer
Skills:
AI-driven test generation, coverage gap detection
Business Impact:
Improve software quality and velocity with generative test automation
Hire a team, not just a resume. We plug our engineers into your workflows or deliver turnkey projects — fast.