( AI Services ) We build, integrate, and deploy autonomous multi-agent systems connected to your data safely inside your existing infrastructure.
Acme inc.
Dashboard
Inbox
Assistant
Actions
Connectors
Agents
Flows
Reports
Users
Compliance
Acme Central
/
Dashboard
Ask, analyse, create.
Start by asking a question…
Skills
Tasks
Add a data connection
Create a connector or select an existing database.
Manage users
Add, edit and manage users, groups and permissions
Create a smart report
Build a smart report from your existing data
Generate a view
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Data Sense
Connect agents to the data, tools, and workflows your business already uses. We help enterprises enrich and empower their existing data workflows to help them increase sales, improve customer success, and optimize operational throughput.
GDPR Compliant
Zero data retention
Analyse my Q3 profitability
Got it! Connecting to your Q3 data…
Connected. Fetching Q3 profitability from 2 discovered databases.
Analysing Q1 and Q2 data and forecasting Q4.
Your Q3 profitability report is ready to download.
Download .pdf
Export .csv
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Agentic Services
Turn unstructured data and manual workflows into intelligent, autonomous operations with custom LLMs.
Autonomous Task Agents
Deploy multi-agent systems that autonomously execute multi-step workflows, research, and cross-platform actions.
Customer Copilots
Build context-aware conversational bots for tier-1 customer support, automated onboarding, and employee self-service.
Data Extraction & Enrichment
Transform unstructured business documents, emails, and logs into clean, structured data pipelines ready for analysis and automation.
Enterprise Search & RAG
Connect LLMs securely to your private company knowledge (Notion, Google Drive, CRM, SQL) to deliver verifiable, grounded answers with source citations.
Automated Document Processing
Extract, validate, and summarize complex invoices, legal contracts, and compliance forms directly into your existing systems.
Voice & Support Copilots
Implement low-latency, human-like voice agents for inbound phone support, scheduling, and outbound customer outreach.
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Process
How it Works
( 01 )
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Discovery & Feasibility Audit
Every engagement starts by identifying high-friction enterprise bottlenecks and auditing whether data pipelines and endpoints are ready for autonomous execution.
Duration: 1–2 weeks
( 02 )
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Architecture & Guardrail Specification
This phase defines the core multi-agent topology, standardizes tool schemas, and locks down enterprise security boundaries before writing integration code.
Duration: 2 weeks
( 03 )
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VPC Prototype & Sandbox Validation
Execution begins directly within your isolated private environment, assembling functional agents to run against realistic enterprise payloads.
Duration: 1–3 weeks
( 04 )
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Controlled Pilot & Systems Deployment
A targeted rollout introduces the agents to active operators in a restricted production setting to validate operational ergonomics and decision accuracy.
Duration: 2–6 weeks
( 05 )
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Full Production & Continuous Optimization
Organization-wide production deployment delivers enterprise scale, protected by deep-layer telemetry, drift detection, and proactive cost governance.
Duration: 4–8 weeks
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Use Cases
We help industries solve real-world problems and increase profitability, get clarity and reduce cost.
( CASE / 01 )
Automotive
An OEM changes a specification
Engineering needs to know which parts, drawings, suppliers, and open orders are affected. An agent gathers the relevant records across product and business systems, prepares an impact summary, and routes the decisions to the right people. The team starts with a clear picture instead of a search across departments.
( CASE / 02 )
Manufacturing
A defect keeps appearing
Quality teams pull inspection notes, batch records, machine events, and supplier information to understand what’s happening. An agent assembles that evidence and flags possible patterns. Specialists can spend their time investigating the cause rather than collecting the files.
( CASE / 03 )
Energy
A field visit uncovers more work
A technician’s report mentions a fault that needs follow-up. An agent checks the asset history, maintenance records, and available parts, then prepares a work order for review. The finding moves into the next workflow without someone re-entering it from a report.
( CASE / 04 )
Industrial distribution
An order arrives with exceptions
A customer requests parts, substitutions, and a tight delivery date in one email. An agent checks stock, supplier lead times, and account details, then prepares options for a sales rep to approve. The customer gets an answer sooner, with fewer manual handoffs.