◐ In UAT — Coming Soon AI · Operations Research · LangGraph

Neluvi AIXOM
AI Optimization Platform

An AI-native meta-optimization platform that transforms complex, unstructured business constraints into production-ready, mathematically verified solver models — in a fraction of the time.

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$14B Market Size by 2027
75% Faster Planning Cycles
50% Supply Chain Cost Reduction
~18% Market CAGR
$13T AI Economic Value by 2030
The Problem

The Rigidity Barrier in Operations Research

Every enterprise runs on optimization problems — scheduling, routing, allocation, planning. But translating messy real-world constraints into solvable models is slow, expensive, and fragile.

⏳
Weeks of Manual Modeling
Expert OR engineers spend 3–6 weeks per problem reformulating constraints, debugging infeasibilities, and iterating — before a single line of solver code runs.
🧩
Unstructured Business Input
Requirements arrive as PDFs, emails, and verbal specs. Translating human language into math is manual, error-prone, and dependent on scarce expertise.
🔄
Infeasibility & Rework Loops
60–70% of first-draft models are infeasible. Diagnosing conflicting constraints (IIS) can take days, creating costly rework cycles before any business value is delivered.
📉
Talent Bottleneck & Cost
Senior OR engineers command $180K–$280K/year. Most enterprises can't maintain dedicated optimization teams, leaving high-value problems unsolved.
The Solution

Meet AIXOM — Your AI Optimization Engineer

Upload a PDF or Word document describing your optimization problem. COO reads the constraints, converts them to a mathematical model, chooses the right solver, and returns verified, production-ready code.

📄
Upload Problem Statement
PDF, Word doc, or plain text describing your business constraints, objectives, and data.
🧮
AI Converts to Mathematical Form
Natural language → objective function, constraints, variables. IIS detection and conflict resolution built in.
⚙️
Feeds Gurobi / OR-Tools Solver
Structured model is passed to production-grade solvers. For NP-hard problems, AIXOM writes its own heuristic agents.
✅
Verified, Production-Ready Output
Optimized solution with mathematical proofs, sensitivity analysis, and HITL review before deployment.
Supported Problem Types
🚚
Supply Chain & Logistics
Route optimization, inventory allocation, vehicle routing
📅
Scheduling & Planning
Staff scheduling, job shop, project scheduling
💰
Financial Optimization
Portfolio allocation, risk optimization, capital deployment
🏭
Manufacturing
Production planning, capacity optimization, lot sizing
📦
Resource Allocation
Multi-dimensional knapsack, assignment problems
🌐
Network Design
Facility location, network flow, hub-and-spoke
Platform Architecture

Multi-Agent AI Operations Research

AIXOM uses a LangGraph-orchestrated pipeline of specialised agents — each handling a different phase of the optimization workflow.

📥
Document Ingestion Agent
Extracts structured constraints, objectives, and variables from PDF/Word documents using LLM-based structured extraction with schema validation.
🧮
Mathematical Formulation Agent
Converts extracted problem description into formal mathematical programming form: objective function, constraint set, variable domains, and bounds.
🔍
Feasibility Analysis Agent
Detects infeasible constraint sets using IIS (Irreducible Infeasible Subset) analysis. Suggests constraint relaxations before passing to solver.
⚙️
Solver Selection Agent
Classifies problem type (LP, MIP, MILP, NLP, CP) and selects the optimal solver — Gurobi for commercial, OR-Tools for open-source, custom heuristic for NP-hard.
🤖
Heuristic Writer Agent
For NP-hard problems where exact solvers are impractical, this agent writes custom heuristic algorithms (genetic, simulated annealing, tabu search) tailored to the problem.
📊
Result Analyst Agent
Interprets solver output, performs sensitivity analysis, generates plain-language explanations of the optimal solution, and identifies binding constraints.
Technology Stack

Built on Production-Grade Infrastructure

Python 3.12 LangGraph Claude Opus 4.7 Gurobi Google OR-Tools FastAPI PostgreSQL React 18 Docker / K8s pgvector
Security Model
✓ BFSI-grade security baseline
✓ JWT + RBAC access control
✓ AES-256 data at rest
✓ Human-in-the-Loop approval gates
✓ Full decision audit trail
Market Opportunity

Decision Intelligence is the Next Frontier

50%
of supply chain orgs will invest in AI/ML optimization by 2025 — Gartner, 2023
75%
reduction in planning cycle times via advanced analytics — McKinsey, 2022
40%
increase in labor productivity via AI by 2035 — Accenture, 2017
◐ UAT — Accepting Early Access

Transform Your Optimization Workflows

Tell us about your hardest optimization problem. We'll show you how AIXOM can solve it — and build the model alongside your team.

Request Early Access