AI FOR ALM & IBM ELM
Softacus AI Hub — Intelligent AI for Engineering Teams
Empower your engineering teams to review requirements, draft tests, compare document revisions, and query your systems in plain language.
Connect AI to IBM Engineering Lifecycle Management (ELM) and your third-party tools. Your engineers stay in control, and your existing tools remain the source of truth.
Key Benefits
Here is what that looks like for the people doing the work.
Find an answer
Ask about the requirements in view, or a knowledge base your team selected.
Improve the next artifact
A 0–100 score and rewrite, or a test draft tied to the requirement you choose.
Keep the lifecycle in your hands
A change is written in DOORS Next, Engineering Test Management, or Global Configuration when you ask.
What we solve accross the Lifecycle
Those results show up in three kinds of engineering work.
Requirements
Check wording, pull candidates from a file, and find overlap.
Testing
Draft the test from the requirement, than store it after review.
Lifecycle
Ask for the read or a change in the lifecycle application you already use.
How it works
A transparent, repeatable workflow connecting engineers to specialized agents and authoritative systems of record.
1
Ask
A question, a document, or a task
2
Gather context
Project, artifact, and knowledge bases
3
Specialist work
The assistant calls the matching agents
4
Review
An answer, a draft, or a question
5
Update only if you ask
Written to ELM with your permissions
The same path serves a writing check, a comparison, a test draft, or an update in ELM.
Interactive Preview
“Review this requirement against INCOSE and show which rules moved the score.”
The Quality Analysis Agent checks the requirement against 42 INCOSE rules, calculates an objective 0–100 score, itemizes violations, and proposes an improved rewrite. Saving the text to DOORS Next is an explicit user confirmation.
See the requirement review
4 core AI Capabilities
Softacus AI Hub organizes its production agent fleet across four core functional areas of systems engineering.
Agentic AI & Connections
Autonomous task planning, natural-language tool queries, and open Model Context Protocol (MCP) tool integration.
Requirements Quality & Audit
Formal INCOSE rule evaluation, 0–100 quality scoring, automated rewrites, and ASIL categorization.
Knowledge, RAG & Intake
Extracting requirements from PDFs/Word with verbatim quotes, resilient diffing, and grounded Q&A.
Verification & Test Drafting
Automated test case generation, manual verification scripts, and bidirectional requirement traceability.
1. Agentic AI, Autonomous Workflows & Tool Connections (MCP)
Coordinate multi-step engineering tasks with autonomous agents that plan, retrieve context, and interact directly with your engineering tools.
Multi-Agent Task Planning
The Engineering Assistant coordinates specialized agents to break down and executre comples multispe engineering jobs.
Universal Tool Connections (MCP)
Connects to IBM ELM (DOORS Next, ETM, GC, EWM) and third-party tools (Jira, GitLab, Siemens, PTC) using open standards.
Delegated User Permissions
Every action executes under the signed-in engineer's account, preserving all user roles, permissions, and audit logs.
Human-in-the-Loop Review
AI operates in transparent analysis mode; updates to your systems of record happen only upon your explicit approval.
Engineering Assistant
Your everyday AI companion to search, summarize, and coordinate complex tasks across your engineering tools.
Work in DOORS Next, test managmeent, and configuration
Perform everyday queries and updates in IBM ELM and third-party tools using plain language, with your existing permissions.
Summarize a work item
Turn a long Engineering Workflow Management work item into a structured synopsis. Softacus does not ship this agent.
2. Rule-Based Requirements Quality, Analysis & Compliance
Automate requirements reviews with objective rule scoring against INCOSE guidelines, medical regulations, and company catalogs.
Objective 0-100 Quality Scores
Evaluates text against 40+ formal rules and calculates weighted scores showing exactly which rules moved the score.
Auditable Rewrite Recoomendations
Generates compliant rewrites that fix ambiguity, passive voice, and untestable assertions with one-click adoption.
Automated Taxonomy Categorization
Sorts requirements into subsystems, components, or safety criticality levels (like automotive ASIL) using company rules.
Duplicate & Conflict Detection
Detects semantic overlap and contradictions across modules and supplier specifications before design begins.
Review requirements quality
Score requirement wording from 0 to 100 against industry writing rules, and review clearer rewrites before publishing.
Categorize requirements and artifacts
Automatically classify requirements into subsystems, domains, or safety levels using your organization's rules.
Find duplicates and conflicts
Identify overlapping, redundant, or conflicting requirements across modules, even when worded completely differently.
The Platform Foundation & Governance
Softacus AI Hub provides the enterprise foundation: centralized agent management, user permission delegation, spending budgets, and complete audit logging.
Connect IBM & 3rd-Party Tools
Connect DOORS Next, Test Management, and Global Configuration, plus Jira, GitLab, Siemens, PTC, and documents.
100% On-Premise Privacy
Deploy inside your firewall or private cloud with local AI models for complete data sovereignty and zero external data leakage.
Enterprise Governance & Budgets
Manage agents visually, enforce role-based spending caps, and run actions under each user's authenticated login.
AI Hub platform · Connect your systems · Deployment options
Various AI Models & technologies
100+ Supported AI Models
Full compatibility with leading open-source models (Granite, Llama, Mistral, Gemma) and premier cloud models (Claude, OpenAI, Gemini, watsonx).
100% On-Premise Private Models
Run models locally on internal servers with zero data sent outside your corporate network.
Zero External Token Costs
Operating local models eliminates per-prompt cloud API fees, providing predictable flat-rate engineering costs.
Switchable Models On-Demand
Assign the most cost-effective or highest-reasoning model dynamically per agent or task.
Hardware Flexibility
Deploy on standard enterprise CPU servers for pilot teams, or leverage GPU hardware for high-throughput batch analysis.
Zero External Token Costs
Operating local models eliminates per-prompt cloud API fees, providing predictable flat-rate engineering costs.
Configure model providers in AI Hub.
Cloud & Onsite deployment
Select the deployment model that best fits your security and compliance needs. Whether SaaS or on-premise.
Deploy anywhere Saas, Amazon, Microsoft, or your local site (Docker).
SaaS
Some of mentioned use cases can be run as IBM SaaS environment.
Local
Deployed via containerised installation within your on-premise or isolated environment.
Custom
Environment can be deployed in any country on typical Cloud providers. It can be managed by our team or yours.
Explore detailed deployment architecture and sizing →
Pricing
Softacus provides a clear, predictable cost model tailored to your team size and infrastructure needs. Existing IBM ELM and third-party software licensing remains unchanged.
Get In Touch
+41 43 5087081
jan.jancar@softacus.com
info@softacus.com
Löwenstrasse 20 8001 Zürich Switzerland
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