Accelerate with Agentic AI
0 → 1 AI Engineering — from multi-step stateful agents with reflection loops to multi-agent pipelines, all coordinated by a Workflow Orchestrator. Built for your operations — Finance, Sales, Legal, CX. Pre-built solutions for your industry — Logistics, Energy, Solar, Manufacturing & Design.
4+
Industry Dashboards
4
AI Verticals
8
LLMs Tracked
1
Unified AI Console
Three Pillars of AI Engineering
The full stack — from model selection and agent architecture to safety and governance.
AI Model Development
- Context engineering
- Fine-tuning / post-training
- Evaluation frameworks
- Model selection (LLMs, multimodal, specialized models)
- Performance, latency, cost optimization
Agent & Workflow Architecture
- Multi-step reasoning systems
- Stateful agents
- Tool use / function calling
- Reflection loops
- Multi-agent systems
- Workflow orchestration
Evaluation, Safety & Governance
- Hallucination mitigation
- Guardrails
- Security testing
- Responsible AI policies
- Bias, fairness, transparency
- Regulatory alignment
Built for Your Operations
AI solutions tailored to the workflow realities of four high-impact operations.
Finance
Risk analytics, portfolio monitoring, and AI-driven forecasting for financial services.
Sales
Pipeline intelligence, lead scoring, and AI chat agents that accelerate revenue.
Digital
Real-time performance dashboards, user analytics, and AI-powered product insights.
CX
Customer experience intelligence — sentiment, CSAT, resolution time, and AI support agents.
Pre-Built. Production-Ready.
Industry-specific dashboards that integrate directly with the AI Observability Console.
Logistics
Fleet tracking, supply-chain flows, warehouse 3D views, and cargo analytics — all in one operational dashboard.
Energy & Solar
Production, storage, consumption forecasting, grid finance, and alerts for energy and solar operations.
Manufacturing & Design
Production KPIs, machine status, quality control, AI design agents, and shift-level performance breakdowns.
AI Observability Console
The central hub all dashboards connect to — agent flows, model costs, RAG diagnostics, and live pipeline monitoring.
AI Console Keeps Track of All Agents
Logistics, Energy, and Manufacturing dashboards are not standalone tools — they pipe agent activity, model calls, and RAG queries directly into the Agentic AI Observability Console for unified monitoring and debugging.
See It In Action
Interactive LangGraph agent flow — the same view inside the AI Observability Console. Scroll to zoom, drag to pan, click nodes to inspect.
MCP Calls Graph
Keep track of all your tool calls
Tool calling by parallel execution using Model Context Protocol (MCP) to fan out across Filesystem, GitHub, Database, and Web Search servers.
RAG Search Strategy — Decision Flowchart
RAG search using only dense index will not give the best results for all prompts - a multi-layered search strategy must be designed based on intent
Follow the decision tree to pick the right retrieval strategy. Click any strategy node to see details.
Ready to engineer with AI?
Explore the dashboards, dive into LLM benchmarks, or get in touch to build a custom AI solution for your team.