Veritly

veritly.co.uk

1 Job

2 Employees

About the Company

Veritly is the workflow automation platform built for analysts. Our mission is to free analysts from manual data prep and tool sprawl, empowering them to focus on strategic insights that drive business value and better decision-making: www.veritly.co.uk

With Veritly's no-code automation workflows and persistent memory architecture, analysts can eliminate the 65% of time typically lost to repetitive tasks. The platform's RAG technology acts as an intelligent filing cabinet, remembering context across projects and sessions so analysts never start from scratch. Unlike traditional AI assistants that forget previous work, Veritly maintains continuity across data sources, analysis workflows, and stakeholder requests.

Built by analysts for analysts, Veritly addresses the daily friction points that slow teams down: fragmented tool ecosystems (averaging 47+ tool switches daily), lost context between projects, and the pressure to deliver insights faster. Our guided workflows and pre-built automation templates enable teams to achieve 60% time savings on routine analysis while maintaining quality and depth.
Accessible via web interface with enterprise-grade security, Veritly ensures analysts can automate workflows and retrieve context seamlessly, whether onboarding new team members, revisiting past projects, or scaling best practices across the organization.

Listed Jobs

Company Name: Veritly
Job Title: Co-Founder & Lead AI Engineer
Job Description: Job title Co‑Founder & Lead AI Engineer Role Summary Founder‑level AI engineering lead responsible for designing, building, and scaling AI/ML capabilities that power a workflow automation platform. Drives technical strategy, product road‑map alignment, and hands‑on development while mentoring a small technical team in a startup environment. Expectations - Own the end‑to‑end lifecycle of AI solutions on the platform, from concept to production. - Serve as the primary AI architect and technical decision maker. - Partner with co‑founders to translate business goals into AI‑driven features. - Lead research and experimentation to advance intelligent automation. - Mentor junior engineers and instill a culture of continuous improvement. Key Responsibilities - Design scalable AI architecture and select appropriate modeling approaches. - Implement and deploy machine learning models, including data pipelines, feature engineering, and model serving. - Develop persistent memory mechanisms to enable context awareness across user sessions. - Conduct technical research to stay ahead of AI trends relevant to no‑code automation. - Collaborate with product, design, and operations teams to integrate AI features into the user experience. - Manage end‑to‑end model lifecycle: training, validation, monitoring, and retraining. - Provide code reviews, set best‑practice standards, and guide the engineering team. Required Skills - Deep expertise in AI/ML, including supervised, unsupervised, and deep learning techniques. - Advanced programming in Python (and optionally Java or other languages). - Proficiency with AI frameworks (TensorFlow, PyTorch, scikit‑learn, etc.). - Experience building production‑grade ML pipelines and model deployment (e.g., Docker, Kubernetes, cloud ML services). - Strong analytical and problem‑solving skills. - Excellent written and verbal communication for cross‑functional collaboration. - Proven ability to lead projects and deliver complex technology solutions. - Entrepreneurial mindset, comfortable wearing multiple roles in a startup. Required Education & Certifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or related field (or equivalent practical experience). - No specific certifications required, though experience with cloud AI services (AWS SageMaker, GCP AI Platform) or related certifications is a plus.