Copilot for Requirements Engineering

Domain-Driven Requirement
Engineering
Built for Developers and AI

Structured, atomic, workflow-ready requirements for execution. Always in sync.

Request early access See how it works

83+ structured fields

Each requirement carries acceptance criteria, risk flags, domain tags, and traceability. No blanks, no guessing.

Workflows, modeled

Every actor, step, and decision mapped from your real process. End-to-end visibility, ready to execute.

One click handoff

Export an SRS, open Jira tickets, sync Linear, or stream specs to AI agents over MCP.

Compliance ready

Output maps to ISO 29148, IEEE 830, and SOC 2. Ready for audit review from day one.

THE PROBLEM

Software doesn't fail in code.
It fails at the requirements

Months lost to manual requirement gathering.avg 3–6 months · per release cycle
Ambiguity causes rework and missed deadlines.~40% of dev time · spent re-clarifying
AI tools fail without structured inputs.prose ≠ spec · models can't reason on it

THE SOLUTION · ZAPTOLINE

A live requirements graph.
Not a one-shot generator.

CORE CAPABILITIES

Built for Enterprise-Scale Engineering

The full requirements stack: structured, atomic, compliant, and AI-ready. All under one graph.

01 · STRUCTURED

Structured Requirement System

EPIC → Feature → Story → Use Case with full traceability and hierarchy.

4-level requirement tree
Parent-child link integrity
Drill-down from epic to test

02 · ATOMIC

Atomic-Level Precision

Attribute-level detailing eliminates ambiguity for Developers and AI.

83 fields per spec
Trigger · action · acceptance
Auto-linked tests & SLAs

03 · COMPLIANCE

Business Rules & Compliance

Built-in validations, regulatory rules, and edge case coverage.

NIST · GDPR · HIPAA · PCI
Citation pinned to clause
Re-validated on rule change

04 · COVERAGE

API, UI & Integration Coverage

Covers front-end, backend, APIs, and system integrations end-to-end.

UI · API · Integrations
OpenAPI 3.0 contract export
Cross-system traceability

05 · AI-READY

AI + Developer Ready

Outputs optimized for human teams and AI code-generation agents.

SRS · BPMN · Jira · Linear
MCP-ready for Cursor & Claude
One-click handoff & sync

CODEBASE → REQUIREMENTS

Legacy code
reverse engineering

Point Zaptoline at a GitHub URL, a ZIP, or a paste of code. Three passes detect the language, framework, and architecture, then ship atomic requirements, NFR checks, and a workflow you can hand to a new team.

Ingest from

GitHub

GitLab

ZIP

Paste code

ingest.log

stack.json

graph.yaml

$ curl -X POST /api/v1/codebase/import -d '{"source": "github.com/acme/loan-origination"}'
 
[pass 1 · reconnaissance]
→ fetched 412 files · 187k LOC
→ languages:Python 71%TypeScript 22%SQL 5%YAML 2%
→ frameworks:FastAPISQLAlchemyReactCeleryRedis
→ industry:banking → loan origination
 
[pass 2 · per-module requirements]
→ auth/                    14 requirements · 3 NFRs
→ kyc/                     22 requirements · 5 NFRsFFIEC · CCPA
→ underwriting/            19 requirements · 4 NFRs
→ disbursement/            11 requirements · 2 NFRsPCI-DSS
 
[pass 3 · synthesis]
→ resolved 7 contradictions · 412 dependency edges
→ traceability matrix built · swimlane rendered
 
✓ done in 1m 47s · 74 requirements · 17 NFRs · 17 citations

DELIVERABLES / INTEGRATIONS

Build-ready artifacts, every release

Every output is generated from the same atomic requirements graph, so an SRS, a BPMN, and a Jira ticket can never disagree.

SRS · DOCX

WWordXCSV

Full SRS Document

IEEE-style sections, traceability matrix, compliance appendix. Exported as Word DOCX or CSV.

BPMN 2.0

CCamundaDdraw.io

Swimlane / BPMN

Standards-compliant BPMN XML. Imports into any BPMN modeler.

TICKETS

JJiraLLinear

Jira / Linear Tickets

Bi-directional sync · acceptance criteria pushed as subtasks.

MCP · IDE

CCursorAClaude

MCP Server

Read & write requirements from any MCP-compatible IDE agent.

ATOMIC-LEVEL REQUIREMENTS

Atomic Requirements

Typical · how most docs write it

Not executable

REQ-001 · Authentication

“The system shall be secure and authenticate users in a timely manner.”

× no priority · no trigger / action
× no acceptance criteria · no tests
× no citation · no traceability

Zaptoline · atomic, machine-ready

Build-ready

REQ-AUTH-014 · v3

The system SHALL verify second-factor OTP within 30 seconds of password submission

MUST

Type: Functional → Authentication · Security
Trigger: on password.verified == true
Action: send OTP via gateway · 30s SLA · retry 1×
Citation: NIST 800-63B · §5.1.4
Tests: TC-AUTH-014.1 · .2 · .3
Linked: REQ-AUTH-013 · NODE-LOGIN-04
Acceptance: OTP delivered <30s for 99% of requests

CLOSED-LOOP SPEC ENGINEERING

Know what breaks before you export

Talk to them. Edit them. Prove them. Every change is impact-checked, audit-logged, and compliance-validated. One closed loop from ask to audit.

ASK · EDIT · DELETE

Just chat.

live · banking · loan-origination

Edit REQ-AUTH-008: session timeout → 15 min.

↳ impact-checkedUpdated. 2 nodes touched · still passes PCI-DSS 8.2.8.

Delete the duplicate OTP retry rule.

↳ audit-loggedRemoved REQ-AUTH-014. Revert + diff in the ISO 27001 trail.

Ask a regulation, edit a requirement, delete what's wrong. The graph stays consistent.

IMPACT · BLAST RADIUS

Before you save.

IMPACT PREVIEW · runningMEDIUM

16 items will be touched if you save

7REQS

3NODES

2RULES

4TESTS

Real-time blast radius across links, workflow, compliance, tests, and semantically-similar specs. Severity-ranked.

AUDIT · COMPLIANCE

Auditor-ready trail.

AUDIT TRAIL · written

14:02:11REQ-AUTH-014 edit · alice@

14:02:13REQ-AUTH-014 saved · diff preserved

14:02:14CITATION NIST-800-63B re-validated

↩ One-click revert · CSV-exportable

Diff preserved, citations re-validated, one-click revert. Ready for ISO 27001 and SOC 2 evidence packs.

Domain-Driven RequirementEngineeringBuilt for Developers and AI