kama DEI
kama.ai's Designed Emotional Intelligence, kama DEI, truly understands the meaning and human impact behind your client or user's situation or inquiry the way we as people understand each other.
Our Natural Language Understanding (NLU) technology, combined with our proprietary knowledge base, and our human value guidance algorithm supports true human-like understanding and inference behind the interactions with users. Our knowledge base content is easily 'programmed' in natural language, rated by human values, that we all understand, creating an ever expanding Virtual Agent that can answer questions for your clients, employees or other stakeholders.
Conversation journeys deliver prioritized product and service information, directly the way your product or service experts or client practitioners want to communicate it. No data scientists or programmers are required.
kama DEI Agents can 'speak' over our website chat interface, Facebook Messenger, smart speakers, or from within mobile applications. Ultimately, we help you get the right information, to the right people, at the right time, providing any-time client engagement, increasing your marketing ROI and building your brand's loyalty
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Stack AI
StackAI is an enterprise AI automation platform that allows organizations to build end-to-end internal tools and processes with AI agents. It ensures every workflow is secure, compliant, and governed, so teams can automate complex processes without heavy engineering.
With a visual workflow builder and multi-agent orchestration, StackAI enables full automation from knowledge retrieval to approvals and reporting. Enterprise data sources like SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected with versioning, citations, and access controls to protect sensitive information.
AI agents can be deployed as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, ServiceNow, or custom apps.
Security is built in with SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, and data residency. Analytics and cost governance let teams track performance, while evaluations and guardrails ensure reliability before production.
StackAI also offers model flexibility, routing tasks across OpenAI, Anthropic, Google, or local LLMs with fine-grained controls for accuracy.
A template library accelerates adoption with ready-to-use workflows like Contract Analyzer, Support Desk AI Assistant, RFP Response Builder, and Investment Memo Generator.
By consolidating fragmented processes into secure, AI-powered workflows, StackAI reduces manual work, speeds decision-making, and empowers teams to build trusted automation at scale.
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BIOiSIM
BIOiSIMTM represents a groundbreaking 'virtual drug development engine' that significantly enhances the drug development sector by effectively identifying drug compounds that are most likely to provide meaningful therapeutic benefits for various diseases or conditions. We provide an array of translational solutions that are tailored to meet the specific needs of your pre-clinical and clinical initiatives. Central to our offerings is the highly validated BIOiSIMTM platform, which supports the development of small molecules, large molecules, and viruses. This innovative platform is underpinned by extensive data derived from thousands of compounds across seven different species, resulting in a level of robustness that is uncommon in the field. Emphasizing human health outcomes, the heart of the platform features a translatability engine that seamlessly converts insights gained from different species. Importantly, the BIOiSIMTM platform can be deployed prior to the initiation of preclinical animal trials, facilitating earlier insights and potentially reducing the costs associated with outsourced experimentation. By integrating these advanced capabilities, we aim to streamline the drug development process and accelerate the journey from discovery to market.
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Alife
Alife’s advanced AI software is designed to enhance clinic operations, leading to better patient outcomes, greater efficiency, and an improved overall experience for patients. The Alife Assist platform is customizable to support clinic staff in making informed decisions based on data analysis. By integrating smoothly with electronic medical records (EMR), Alife’s AI swiftly transforms raw data into practical insights. It also aims to maximize the retrieval of mature oocytes from ovarian stimulation cycles. This suite of products is created to empower all clinic personnel, ensuring that every team member can contribute effectively. Furthermore, it standardizes the embryo grading process while enhancing quality control and record management. Real-time monitoring of clinic key performance indicators (KPIs) boosts operational efficiency, saving valuable time and reducing costs. Research indicates that interpretable machine learning models perform comparably to embryologists when it comes to selecting optimal embryos for IVF transfer, showcasing their potential utility in clinical settings. Additionally, the study highlights that AI-driven insights might assist in fine-tuning the timing of ovulation trigger injections, potentially leading to improved outcomes for patients undergoing IVF treatments. Overall, this innovative approach represents a significant leap forward in reproductive health technology.
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