Agixtech

AGIX's production-first approach focuses on deploying working AI systems within weeks rather than creating presentation-only prototypes. Its stated mission is to make enterprise-grade AI accessible to organizations regardless of budget or team size.

Offices

• Boston, USA — Headquarters
• London, UK — EMEA Hub
• Sydney, Australia — APAC Hub
• Jaipur, India — Engineering Hub

Delivery Approach

AGIX's AI-first process has six stages:

1. Discovery and Scoping: Maps workflows, data, goals, and high-ROI automation opportunities.
2. Solution Design: Designs agents, guardrails, integrations, and success metrics.
3. Build and Train: Engineers and trains the system on client data in secure environments.
4. Integrate and Test: Connects existing tools, conducts testing, and performs a staged rollout.
5. Deploy: Launches with monitoring, audit trails, and fallback paths.
6. Ongoing Support: Engineers monitor, tune, and improve deployed systems.

Most projects are described as going from kickoff to a deployed AI system in 8–16 weeks.

Company Values

• Ship, Don't Slide: Engagements end with working production software.
• Speed Is a Feature: The 8–16 week delivery model encourages focus and clarity.
• Client Obsessed: Client success is treated as the key measure of the relationship.
• Measure Everything: ROI and success criteria are defined before development begins.

Automation systems can integrate with ERP and CRM platforms, databases, and APIs. AGIX lists native integrations with SAP, Oracle, NetSuite, Salesforce, HubSpot, QuickBooks, Microsoft Dynamics, ServiceNow, Workday, and Slack, along with 200+ other platforms through REST, SOAP, or GraphQL APIs. Legacy systems may be connected through database connectors or UI automation.

Capabilities and Use Cases

• Workflow orchestration: Multi-step automation across systems and APIs
• Document AI: Extraction, classification, and routing for invoices, contracts, and forms
• RPA and AI hybrid systems: Scripted automation for deterministic steps and AI for exceptions
• Finance and accounts payable: Invoice ingestion, three-way matching, GL coding, approval routing, discrepancy flagging, and vendor communications
• Operations: Processes involving document ingestion, data movement, and downstream actions

AGIX automation systems include confidence scoring and exception routing. Items below a configured confidence threshold are sent for human review. Decisions are logged with reasoning traces for auditing, retraining, and improvement.

Pricing and Delivery

• Single-workflow automation: Typically $18,000–$35,000; generally 6–8 weeks
• Multi-workflow platform: Typically $40,000–$90,000; generally 10–16 weeks

Projects are described as fixed-scope and fixed-price, with full source code delivery and no per-use fees after launch. AGIX states that automation systems can be deployed in a client's AWS, Azure, or GCP environment, with processing within the client's VPC.

Visual AI Solutions

AGIX builds production computer vision systems for image recognition, video analytics, defect detection, OCR, and visual automation. Systems can interpret images, video, documents, and live camera feeds, then trigger business actions such as alerts, approvals, workflow updates, or logging.

Vision pipelines can run on-premise, in the cloud, or at the edge. A typical pipeline includes visual input, model inference, structured output, and a business action.

Capabilities

• Object detection and counting
• Image classification and anomaly detection
• Facial recognition for identity verification, access control, and attendance
• Automated quality inspection
• OCR and text extraction
• Video analytics, including people counting and motion tracking
• Pattern recognition
• Smart surveillance and alerting

Industry Applications

AGIX describes vision applications for:

• Manufacturing: Inline defect detection and assembly-error identification
• Healthcare: Medical image analysis and wound assessment
• Retail: Shelf compliance, out-of-stock detection, and shrinkage identification
• Logistics: Package and label scanning, damage detection, and routing verification
• Fintech: KYC document verification and fraud-signal extraction
• Hospitality: Occupancy, crowd-flow, and hygiene monitoring

Models are custom-trained or fine-tuned using client data. AGIX also builds drift monitoring and retraining pipelines so models can be updated as operating conditions change.

Pricing and Timelines

• Single vision system: $6,500–$9,000; typically 6–10 weeks
• Multi-system platform: $13,000–$15,000; typically 8–12 weeks
• Enterprise vision suite: $21,000–$25,000; typically 12–16 weeks

Pricing is project-based. AGIX states that clients own the trained model weights, labeling pipeline, inference API code, documentation, and other intellectual property built for the project.

Agentic systems can connect to CRMs, databases, communication tools, and other APIs. Their architecture may include:

• A reasoning engine for interpreting goals and evaluating outcomes
• A planning module for breaking goals into steps and managing dependencies
• A tool layer for connecting to business systems
• A memory layer for retaining context and state
• An orchestration layer for governing multi-agent networks

AGIX includes monitoring, error handling, human escalation triggers, and audit logging in its production agent systems. Each agent receives a defined tool set, permission boundary, and success criteria. High-stakes or irreversible actions can require human approval, and agent actions are logged and monitored.

Example Use Cases

Agentic AI can support:

• Lead qualification and CRM enrichment
• Customer onboarding and contract generation
• Document processing and approval workflows
• Financial reconciliation and anomaly detection
• Compliance monitoring
• Supply-chain coordination
• Competitive intelligence gathering

Pricing and Timelines

Agentic AI development is project-based. Pricing depends on complexity, integrations, and deployment infrastructure.

• Single-agent build: $7,500–$9,000; typically 4–6 weeks
• Multi-agent system: $13,000–$15,000; typically 6–10 weeks
• Agentic AI platform: $22,000–$25,000; typically 10–14 weeks

AGIX states that clients own the orchestration code, integrations, memory stores, monitoring infrastructure, source code, and intellectual property delivered for the project. There is no ongoing AGIX subscription or platform lock-in.