Problem-driven Deep Applied AI Research
Model Governance and Lifecycle Management
Human-centered Explainable and Reproducible
AI Governance and Lifecycle Management
About Our Expertise
We specialize in advanced AI solutions, transforming organizations through deep model research and innovative strategies for resilience in the ever-evolving business landscape. Flaws in AI and ML development impact the quality and consistency of AI core values to the forefront, creating an opportunity for exceptional performance improvement. Working closely with AI and ML teams, we mitigate risk and bring a distinct business and technical advantage by sharing authentic in-depth research, refinement gained from developing machine learning & AI powered solutions. Along with technology expertise, we also provide strategic and operational support from ideation, MVP through solution launch.
SAM, eSRS, FSRS, FPDS, and CPARSSAM ID: U4XLUG5E2J53
California State Contracts Register (CSCR) SB ID 2034573
AI Consulting Services/Specialties
AI Governance Frameworks, AI Lifecycle Management, AI Standards & Best Practices
Model Lifecycle Management, Model Validation & Monitoring, Bias and Fairness Mitigation
Responsible AI Strategy, AI Accountability Frameworks, Sustainable AI Practices
AI Ethics & Compliance, Ethical AI Practices, AI Compliance & Regulatory Alignment
AI Policy Development, AI Risk & Audit Readiness, AI Trust & Transparency
Bringing best practices with us...
Digital Operational Resilience Act (DORA)
EU risk management, incident reporting, digital operational resilience testing, third-party risk and information sharing
SOC2 Compliance
Adherence to five Trust Services Criteria: Security, Availability, Processing Integrity, Confidentiality, and Privacy
Identify, assess, and mitigate AI risks effectively with Responsible AI management.
ISO 42001 Responsible Artificial intelligence (AI)
NIST AI Risk Management Framework (RMF)
The trustworthiness of AI technologies depends in part on how secure they are
Neural Information Processing Systems (NeurIPS)
International Conference on Machine Learning (ICML)
International Conference on Learning Representations (ICLR)
AAAI Conference on Artificial Intelligence (AAAI)
Conferences we follow
Deep Learning Research
Expertise in Deep AI Reinforcement and Recurrent Learning
Deep AI Research for Model Building
Research focused on exploring AI concepts into practical applications, transforming ideas into tools and systems
Specific domain & Industry datasets
Research focused on real-world industry specific problems, improving productivity, and creating value driven strategy
Research focused on reinforcement learning systems to independently plan, reason, and act to achieve your goals.
Agentic AI & Autonomous Systems
Applied AI
Industry AI
Agentic AI
Experimental Design Evaluation and Optimization | Machine Learning Frameworks and Algorithms | Recurrent Neural Networks (RNNs) and Generative Deep Learning | Convolutional Neural Networks (CNNs) and Machine Vision
Reinforcement (RL) and Ensemble Learning (RL)
Systems Driven Models Governance
Using System engineering approach for AI model Governance
Generative Deep Learning Models
Fine-tuning scalable & efficient generative deep learning models through training, validation and test for simulations and scientific advancements.
Explainability (XAI) and Reproducibility
Building reproducible and XAI transparent AI systems with features attribution ensuring legal compliance (like GDPR), and building confidence.
Fine-tuning autonomous systems to learn, adapt, and operate independently within your set parameters in real-time environments.
Autonomous AI Decision Systems
Scikit-learn - OpenCV - Dlib - Gensim - spaCy - MLlib - Surprise - SHAP- TensorFlow TensorFlow - Probability - PyTorch - Keras - XGBoost - LightGBM - TF-Agents - Round-up
Human-centered XAI Solutions
AI-Driven Planning
Whether strategic, program, or work planning, AI-driven tools and solutions use to data for efficient planning
AI-Powered Productivity
AI-Enabled Preparedness
Performance of project or human capital and productivity of operations can be scaled with AI powered tools
Business continuity, GRC, legal, contracts, finance, human capital, AI tools enables proactive risk mitigation
Authorized Partner
Authorized Partner
Needs Assessment
We evaluate your current capabilities and identify areas to add value or fill gaps.
Business and technology discovery techniques for long and short goals and vision.
We facilitate strategic planning sessions with leadership and teams to design strategy.
Discovery Sessions
Strategic Vision
Listen
Facilitate
Drive
Our Methodology
Gaps -> Analysis <> Problems -> Solutions
GAPS Framework
Four Stages of GAPS Framework
Align Forte's GAPS Framework offers powerful capabilities for optimizing solutions assessment and sourcing processes across all areas of an organization. For leaders and business owners, leveraging AI in process optimization can lead to significant improvements in efficiency, cost reduction, and overall excellence.
Gaps Discovery with Mappings
We will find gaps together with as-is process data to automatically discover and map existing business processes, identifying bottlenecks and inefficiencies.
Analyzing Impact with Data
We will analyze impact by following the data flow for operational tasks and workflows, optimizing resources for strategic activities.
Problem Definition with COI
We will define problems focussing on need to have solutions and identifying the Cost of Inaction (COI) across customers, resources and efficiencies.
Solutions Selection with ROI
We will identify solutions with Return on Investment (ROI) to meet requirements, optimize processes and improve operational efficiencies.
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GAPS Framework | Use Cases
1401 21st St. Ste R
Sacramento, CA 95811
sales@alignforte.com
Ph: (916) 242-5271
Cell: (510) 710-9092
SAM, eSRS, FSRS, FPDS, and CPARSSAM ID: U4XLUG5E2J53 - California State Contracts Register (CSCR) SB ID 2034573
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