/ Core AI services
We take AI from idea to production. Fast.
Intelligent process orchestration
End-to-end automation of multi-step business processes with dynamic decision routing.
AI-triggered event pipelines
Event-driven workflows that activate on data signals, emails, or API inputs.
Document & data extraction
Automated parsing, classification, and routing of unstructured documents at scale.
Human-in-the-loop integration
Seamless handoff points between AI automation and human review or approval.
Model deployment & serving
Scalable inference infrastructure with load balancing, versioning, and monitoring.
Vector database & RAG setup
Embedding pipelines, retrieval-augmented generation, and knowledge base architecture.
LLMOps & observability
Prompt logging, latency tracking, cost dashboards, and model evaluation tooling.
Fine-tuning & adaptation
Domain-specific model customization using LoRA, PEFT, or full fine-tuning pipelines.
AI-assisted code generation
Copilot integrations and custom agents that accelerate feature development cycles.
Automated code review
AI agents that review PRs for bugs, security issues, and style consistency.
Requirement-to-spec agents
Transform product briefs into technical specs, user stories, and architecture docs.
Autonomous debugging & patching
Agents that detect, diagnose, and propose fixes for runtime errors and regressions.
Generative UI prototyping
Prompt-to-wireframe and prompt-to-prototype tools for rapid design iteration.
Design system intelligence
AI that enforces design tokens, component reuse, and accessibility across Figma or code.
Content & copy generation
In-context AI for UX writing, microcopy, and localization within design workflows.
User research synthesis
Automated clustering and summarization of interview notes, surveys, and feedback.
AI test case generation
Automated creation of unit, integration, and edge-case tests from specs or existing code.
Visual regression testing
AI-powered detection of unintended UI changes across builds and environments.
Autonomous E2E test agents
Self-healing test bots that adapt to UI changes and simulate real user journeys.
Defect triage & prioritization
ML-based scoring of bug severity, duplication detection, and resolution routing.
AI policy & risk frameworks
Tailored governance policies covering model use, data handling, and liability boundaries.
Bias & fairness auditing
Systematic evaluation of model outputs for discriminatory patterns and disparate impact.
Compliance monitoring
Continuous tracking of AI outputs against GDPR, EU AI Act, and internal controls.
Model explainability & audit trails
Tooling for decision traceability, lineage documentation, and stakeholder reporting.
