Rigid helpdesk macros and brittle, rules-based trees that frustrate users, fail on minor variations, and ultimately spike engineering team overhead.
Autonomous software agents that interpret unstructured domain queries, securely retrieve contextual data via advanced RAG pipelines, and safely execute backend transactions.
We offer Progressive Web Apps (PWAs) that provide fast loading times and high reliability without needing installation. Our PWAs deliver a native-like user interface and experience, complete with features like notifications.
Ensuring the quality, performance, security, and usability of mobile applications through various testing methods, including functional testing, performance testing, usability testing, security testing, and compatibility testing across different devices and OS versions.
We use agile methods to quickly develop and deploy apps. Automation helps us make the process easy, so you can reach your audience fast. Our team handles app deployments on Google Play and the Apple App Store and provides automated testing with CI/CD for smooth performance.
By fine-tuning state-of-the-art open-weight models (such as Llama or Mistral), your corporate knowledge base and customer interactions are never exposed to public third-party LLM training sets.
Built from day one with data minimization, encryption-at-rest, and explicit audit logging to align with your rigorous compliance frameworks.
Weeks 1 – 2
We map your data silos, locate your ticketing bottlenecks, and design the target agent topology.
Weeks 3 – 4
We build the data-integration pipelines, structure the vector stores, and set up the private model environment.
Weeks 5 – 6
We stress-test the agent against historical ticket edge cases, configure human-in-the-loop handoffs, and launch smoothly into production.
Data privacy is a core architectural pillar at Scalex. We do not use public API wrappers that retain data for model training. Instead, we deploy the entire resolution agent pipeline inside your own secure cloud perimeter (AWS, Azure, or GCP private VPC). By utilizing fine-tuned, state-of-the-art open-weight models (such as Llama 3 or Mistral) hosted on your infrastructure, your data never leaves your boundary, ensuring absolute compliance with SOC 2, ISO, and sector-specific privacy regulations.
Yes, that is exactly why a standard chatbot fails and why our data engineering approach succeeds. Scalex builds custom data ingestion pipelines that aggregate, sanitize, and chunk unstructured data from multiple silos—including legacy Jira tickets, Zendesk logs, Confluence wikis, and internal Slack threads. We feed this into an optimized vector database with advanced semantic re-rankers, meaning the system understands context and operational intent even if your historic documentation is imperfect.
The system operates under strict, deterministic safety guardrails. If a ticket falls outside defined policy boundaries, asks for unauthorized actions, or exhibits high ambiguity, the AI agent executes an immediate, seamless handoff to a human engineer or support specialist. The human agent receives the ticket alongside a concise, pre-written summary brief containing the conversation context and internal reference links, ensuring no loss in resolution speed.
Unlike basic informational bots, Scalex agents are action-oriented. We design secure, authenticated middleware layers that connect the AI agent orchestration to your internal APIs and enterprise systems (such as Salesforce, SAP, or proprietary databases). Every transactional capability requires strict token validation and operates under explicit role-based access controls (RBAC), meaning the agent can only perform pre-approved read/write actions.
We focus on rapid production delivery rather than prolonged exploratory pilots. A typical end-to-end implementation takes 5 to 6 weeks. This includes a 2-week deep systems audit and scoping phase, 4 weeks of pipeline engineering, advanced RAG setup, and API integration, followed by 2 weeks of guardrail calibration, stress-testing against historical edge cases, and a smooth live launch
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