Project Overview
DigitalRegIntel is an early-to-growth stage SaaS company providing real-time regulatory intelligence for businesses operating in fast-evolving domains such as AI, Crypto, and DeFi. Our platform aggregates, analyzes, and interprets regulatory developments across 20+ U.S. and EU agencies, providing clients with actionable insights to manage compliance risks efficiently.
We are seeking a senior-level AI consultant to perform a focused, 3-hour consultation to evaluate and advise on enhancing the performance, scalability, and accuracy of our AI-driven analytics engine.
Objective of Engagement
The consultation will help the DigitalRegIntel team:
Assess current AI/ML system design, particularly text analysis and regulatory intelligence modules.
Identify potential optimizations or architectural improvements (e.g., model selection, data pipelines, inference cost reduction, or fine-tuning strategies).
Explore opportunities to enhance model accuracy, speed, and maintainability within current business constraints.
Provide practical, prioritized recommendations to guide short- and medium-term improvements.
Scope & Deliverables
Duration: 3 hours total (1.5-hour technical deep dive + 1.5-hour strategy and recommendations discussion)
Consultation Topics May Include:
Review of current AI stack: language models, NLP pipelines, data ingestion, and summarization methods.
Benchmarking model performance (accuracy, latency, scalability) relative to use-case needs.
Optimizing data annotation, embeddings, and retrieval-augmented generation pipelines.
Improving domain adaptation for regulatory and policy text corpora.
Evaluating options for integrating third-party LLM APIs, open-source models, or hybrid approaches.
Governance, auditability, and explainability for AI in compliance/regulatory contexts.
Cost-performance tradeoffs and potential toolchain refinements (e.g., vector databases, fine-tuning configurations, evaluation frameworks).
Ideal Consultant Profile
7+ years of experience developing or advising on AI/NLP systems in enterprise or SaaS environments.
Strong background in text analytics, retrieval-augmented generation (RAG), fine-tuning, and LLM evaluation.
Experience with regulatory, legal, or financial-domain data (desired but not mandatory).
Working knowledge of MLOps, vector databases (e.g., Pinecone, FAISS), and model deployment pipelines.
Ability to communicate complex AI concepts clearly to non-technical stakeholders and policy experts.
Engagement Logistics
Format: Remote consultation (via Zoom or equivalent)
Length: 3 hours total, scheduled flexibly over 1–2 sessions
Start Date: As soon as possible (target within the next 2 weeks)
Compensation: Competitive hourly consulting rate (based on experience)
How to Apply
Interested consultants are invited to share:
A short summary of relevant experience and past engagements.
Example of projects involving regulatory intelligence, NLP model optimization, or applied LLM solutions.
Availability and expected rate.
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