Reliable AI with Smarter & Scalable Content Solutions
What We Offer
Power Your AI with High-Quality Data
​​High-performing language models rely on vast amounts of text and structured content—but the quality of your training data makes all the difference. Poorly sourced or noisy data can introduce bias, reduce efficiency, and hinder model performance. Our rigorous curation process ensures your training pipeline is built on trusted, representative, and goal-aligned datasets.
​
Unlock Maximum Model Performance
​
Our advanced data solutions go beyond simple aggregation. We deliver clean, structured, and domain-specific datasets designed to enhance model accuracy, reliability, and efficiency. With our expertise, you can fully leverage your data, make smarter decisions, and gain a competitive edge in your industry.
Data Sourcing
Curated datasets from trusted, compliant sources across formats and domains.
Data Conditioning
Remove noise, duplication, and bias for more accurate model outputs.​
Data Structuring
Optimized formatting and tagging for seamless training pipeline integration.​
Domain-Specific Corpora
Tailored datasets for industries like finance, healthcare, legal, and more.
Multilingual Coverage
High- and low-resource languages with cross-cultural alignment.
AI-Assisted Pipelines
Synthetic data generation with quality filtering and validation. Pairwise ranking and alignment data for RLHF.​
Human-in-the-Loop
Domain experts create nuanced, accurate text and dialogues. Fine-grained categorization with custom schema support.​
Fine-Tuning Datasets
Instruction-response pairs and task-specific data. Extractive and abstractive summaries with quality checks.
​
RAG Content
Knowledge-grounded passages with metadata tagging. Fact-checking, metadata, and knowledge grounding.
​
​
Multimodal Support
Text, code, FAQs, and cross-domain generation.
​
​
Empowering AI with Expert Data
Even the most advanced AI performs best with careful supervision and high-quality, context-rich data. Structured feedback and tailored content reduce bias, improve interpretability, and ensure your models behave reliably and align with real-world user needs—empowering them to learn efficiently and deliver consistently accurate results.
​​
High-Quality Data & Human-in-the-Loop for Reliable AI
High-performing AI models need more than raw data—they require context-rich, domain-specific content and structured, high-quality feedback. At Akee, we combine expert human judgment with scalable AI-assisted pipelines to deliver tailored content for fine-tuning, instruction tuning, and RAG systems, alongside human-in-the-loop workflows for classification, ranking, summarization, and grounded annotations. This ensures your models learn efficiently, perform reliably, reduce bias, and stay aligned with real-world user needs.
Evaluation & Red-Teaming
​
Building a powerful LLM is only half the challenge—ensuring it is safe, reliable, and trustworthy is just as critical. At Akee, we combine expert human oversight with automated pipelines to rigorously test models for performance, safety, bias, and factuality. Our structured red-teaming workflows simulate real-world interactions, surfacing vulnerabilities before they become risks, so your models can be deployed with confidence.
​
Why It Matters
​
Even well-trained models can hallucinate, generate unsafe content, or produce biased responses if not systematically stress-tested. That’s why we benchmark fluency, reasoning, and task performance; assess safety and bias across sensitive contexts; detect hallucinations through human + AI factuality checks; and stress-test guardrails with adversarial red-teaming. With custom evaluation frameworks and continuous monitoring, Akee delivers clear, actionable insights—helping teams reduce risk, strengthen alignment, and ship AI systems that are both high-performing and trustworthy.
Benchmarking
Task-specific quality scoring and continuous evaluation.
Factuality Checks
Detection of unsupported or fabricated outputs.​​
Red-Teaming
Adversarial prompts and stress-tests to expose vulnerabilities.​​
Safety & Bias
Testing across sensitive topics and multilingual fairness.
​
​
Custom Frameworks
Tailored evaluation rubrics integrated into CI/CD workflows.
AI Integration for Diverse Applications
AI is reshaping industries by driving efficiency, unlocking new revenue streams, and enhancing customer experiences. At Akee, we help organizations embed AI across a wide range of use cases—from personalized recommendations in retail to predictive analytics in finance and smarter workflows in healthcare and logistics. Our focus is on delivering solutions that align with your business objectives and generate tangible results.
​
From Vision to Scalable Impact
We go beyond proof-of-concepts to help you achieve lasting value. Our team ensures AI solutions integrate seamlessly with existing systems, scale as your needs grow, and comply with industry standards for security and governance. Whether you’re looking to optimize operations, elevate customer engagement, or create new data-driven services, we design deployments that accelerate growth and strengthen competitive advantage.
Seamless Ecosystem Integration
We seamlessly integrate with your existing ecosystem, ensuring a smooth transition and minimal disruption to your operations. Our flexible approach allows for easy adoption and implementation, empowering you to leverage our solutions effortlessly.