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A
Arham

Arham

Agency
Pakistan flagIslamabad, Pakistan
infyntrix.com

Key Skills

Software

MercorMercor
CVATCVAT
LabelboxLabelbox

Top Subject Matter

No subject matter listed

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming
DocumentDocument

Top Task Types

RLHFRLHF
Entity (NER) ClassificationEntity (NER) Classification
Computer Programming/CodingComputer Programming/Coding
Function CallingFunction Calling
ClassificationClassification

Company Overview

Infyntrix Solutions operates as a specialized full stack development and automation agency focused on accelerating product development for growth stage companies and funded startups. We provide end to end software development support, full stack web development, and custom SaaS building. Our core expertise lies in embedding intelligent AI integrations and deploying high speed data pipelines using a robust technical stack that includes Next.js, Python, Supabase, and advanced AI APIs like OpenAI and Anthropic. We function as an expert engineering unit that helps international brands bridge the gap between their ambitious development goals and actual deployment speed. Our team brings extensive experience in complex technical ecosystems, having successfully shipped production ready applications such as Zenial.net, where we architected custom AI modules, as well as live platforms like Debtris.io and Reviewspot.io. Security is deeply woven into our methodology, utilizing native data isolation and secure cloud workflows via AWS and Railway to protect sensitive enterprise information. Operating primarily from Pakistan, our workforce consists of senior engineers, data specialists, and dedicated project managers who provide specialized development capacity. We are uniquely structured to serve as a reliable, high capacity delivery partner for platforms like OpenTrain AI. We bring the exact workforce management, programmatic expertise, and engineering scalability needed to handle complex data curation, model training support, and advanced entity extraction at scale.

Security

Security Overview

Data protection and confidentiality are structurally built into our entire operation rather than treated as an afterthought. We ensure absolute security through a multi layered privacy framework designed to safeguard client datasets at all times. First, we utilize robust access controls and native security layers within our database infrastructure to maintain total isolation of information. All platform workflows run over securely encrypted channels, ensuring data is fully protected both at rest and in transit during deployment through secure networks like AWS. Second, we enforce strict internal operational security. Every member of our technical team and data workforce operates under binding non disclosure agreements. Access to customer data environments is strictly restricted based on the principle of least privilege, meaning data annotators only see the specific segments necessary to complete their tasks. We also employ automated validation logging to monitor system integrity and prevent unauthorized data handling or information leaks.

Security Credentials

SOC 2HIPPAISO 27001

Labeling Experience

Intelligent Document Extraction and Schema Mapping for Global Logistics

Internal/Proprietary ToolingDocumentDocumentEntity (NER) ClassificationEntity (NER) Classification

Our team designed and executed an enterprise scale document text extraction and annotation pipeline to train specialized multimodal AI models for global logistics workflows. The primary objective was to convert massive volumes of highly fragmented, unstructured document types, including complex Bills of Lading, custom commercial invoices, and international shipping manifests, into ultra precise, structured database formats. Using custom internal interface environments built with Next.js and Supabase, our data operators performed high density Named Entity Recognition (NER). We systematically isolated, labeled, and validated critical data points including unique carrier identifiers, geographic routing metadata, specific commodity classifications, and line item financial tables. A core component of the project involved rigorous schema mapping and data cleansing. Our specialists evaluated the model output against the raw files, correcting OCR character mismatches and resolving layout extraction errors. This rigorous human in the loop validation directly improved the model's ability to handle variations in layout formatting, paving the way for complete automated review pipelines in enterprise logistics environments.

2025 - 2026
Mercor

Advanced Code Alignment and Language Model Optimization

MercorMercorComputer Code ProgrammingComputer Code ProgrammingRLHFRLHF

Our technical team executed an advanced code evaluation and model alignment project focused on optimizing frontier language models for complex software engineering tasks. Leveraging our deep development background across multiple programming languages including Python, Java, C++, and SQL, our technical specialists reviewed and labeled massive datasets of AI generated code responses. The core workload involved rigorous multi turn Reinforcement Learning from Human Feedback (RLHF). Our operators carefully analyzed model outputs to grade them on execution logic, syntactic correctness, and code efficiency. We actively performed error correction by fixing logic bugs, refactoring poorly optimized code, and ensuring the final code blocks strictly adhered to complex technical constraints and safety guardrails. Additionally, we designed structured evaluation rubrics to rank model variations, directly contributing to the alignment phase of code generation systems. This meticulous human in the loop validation successfully improved the model's accuracy, contextual understanding, and capability to handle real world enterprise software development requirements.

2025 - 2026