Bugs scattered across tools
Issues live in spreadsheets, chat threads, and three trackers nobody agrees on.
Introducing autonomous AI triage
AI-Powered Bug Tracking
AI-Powered Bug Tracking
for Modern Engineering Teams
TaskSphere helps engineering organizations detect, triage, prioritize, and resolve defects faster — with AI that understands your codebase, your releases, and your team.
SSO, RBAC & audit logs
99.99% uptime SLA
Deploy in cloud, VPC or on-prem
TaskSphere — Quality Command Center
AI Triage live
Open defects
128
−18%
Median resolution
3.4h
−42%
Release readiness
94%
+6%
Defect inflow vs. resolution
Last 30 days
TS-4821
Checkout intent fails on retry
Root cause: race in payment hook
96%
Critical
TS-4817
Duplicate of TS-4712 detected
Auto-merged by AI clustering
91%
High
TS-4802
Latency spike on /v2/search
Predicted release risk: low
84%
Medium
TS-4790
Avatar upload rejects HEIC
Suggested fix in media-utils.ts
78%
Low
The problem
Software quality breaks down between the tools
Modern engineering organizations don't lack effort — they lack a single intelligent system for the defect lifecycle.
Slow issue resolution
Critical defects sit unassigned while teams debate ownership and severity.
Poor communication
Context is lost between QA, engineering, product, and support.
Manual triaging
Engineers burn hours labelling, routing, and re-prioritising by hand.
Duplicate bugs
The same defect gets reported five times and fixed twice.
Lack of visibility
Leadership has no reliable view of quality across teams and releases.
Missed release deadlines
Unknown risk surfaces on release day instead of during the sprint.
Inefficient QA workflows
Testing effort is spent where defects are least likely to appear.
Our solution
One platform for the entire defect lifecycle
TaskSphere replaces fragmented tooling with an AI-native quality system that thinks alongside your engineers.
Intelligent bug tracking
One canonical record for every defect, enriched automatically with context from code, logs, and releases.
AI-assisted prioritization
Severity, impact, and business risk scored the moment an issue lands.
Smart categorization
Components, owners, and labels inferred from the report — no manual tagging.
Automatic duplicate detection
Semantic clustering merges repeat reports into a single thread of truth.
Real-time collaboration
QA, engineering, product, and support work in one shared issue surface.
Rich issue history
Every status change, comment, and commit link preserved as an auditable timeline.
Release tracking
Know exactly which defects ship, which block, and which regress.
Predictive insights
Forecast release risk and technical debt before it reaches production.
Key features
Everything enterprise teams need, nothing they don't
Depth for engineering, clarity for leadership, and automation everywhere in between.
AI Bug Detection
Surface defects from logs, sessions, and error streams automatically.
Smart Issue Tracking
Structured, searchable records with full lifecycle state.
AI Bug Prioritization
Impact-weighted scoring across users, revenue, and releases.
Duplicate Detection
Semantic matching merges repeat reports instantly.
Sprint Integration
Defects flow into sprints with capacity awareness.
Workflow Automation
Rules and agents that route, escalate, and close.
Team Collaboration
Threads, mentions, and shared context in every issue.
File Attachments
Screenshots, videos, HAR files, and stack traces.
Code Linking
Link commits, branches, and pull requests to defects.
Release Management
Track quality gates and readiness per release train.
Analytics Dashboard
Live quality metrics for teams and leadership.
Notifications
Targeted alerts that respect focus time and severity.
Custom Workflows
Model your own states, transitions, and approvals.
Enterprise Permissions
Granular role-based access across org hierarchies.
Audit Logs
Immutable history for compliance and forensics.
API Integrations
REST, webhooks, and SDKs for everything else.
AI capabilities
From assisted triage to an autonomous quality platform
TaskSphere's AI layer compounds: every defect resolved makes prediction, prevention, and resolution sharper.
Available
AI Bug Classification
Every incoming report typed, componentised, and routed in milliseconds.
Beta
AI Root Cause Analysis
Trace defects to the commit, service, or config change that caused them.
Available
AI Severity Prediction
Predict real-world blast radius before a human reads the ticket.
Beta
AI Release Risk Prediction
Quantify the probability a release introduces regressions.
Roadmap
AI Test Recommendations
Recommend the highest-value tests for the code you just changed.
Beta
AI Resolution Suggestions
Proposed patches grounded in your repository and past fixes.
Roadmap
AI Sprint Planning
Balance defect load against capacity and delivery commitments.
Available
AI Bug Clustering
Group symptoms into a single underlying defect automatically.
Roadmap
AI Knowledge Base
Institutional memory of every defect, fix, and postmortem.
Roadmap
AI Engineering Insights
Narrative quality reporting for CTOs and engineering leaders.
Workflow
The defect lifecycle, closed loop
From first report to continuous learning — TaskSphere orchestrates every step.
-
01
Report Bug
Captured from QA, support, monitoring, or an SDK.
-
02
AI Analysis
Classified, deduplicated, and enriched with context.
-
03
Assign Priority
Severity and business impact scored automatically.
-
04
Developer Assignment
Routed to the owning team by code and history.
-
05
Fix
Resolution suggestions and linked pull requests.
-
06
Verification
Targeted regression tests confirm the fix.
-
07
Release
Ships with quality gates and readiness scoring.
-
08
Continuous Learning
Every outcome retrains prioritization and prediction.
Use cases
Built for every team that owns quality
One system of record that each function reads in its own language.
Software Development Teams
Track engineering issues effortlessly with code-linked context and AI triage.
QA Teams
Organize testing workflows, reproduce faster, and prove coverage per release.
Product Teams
Gain complete visibility into product quality and customer-facing impact.
Enterprise Organizations
Manage software quality across dozens of teams under one governance model.
DevOps Teams
Connect releases, deployments, and incidents with issue management.
Customer Support
Convert customer-reported issues into actionable engineering work instantly.
Integrations
Fits the toolchain you already run
Two-way sync with the systems your engineers, QA, and support teams live in every day.
GI
GitHub
GI
GitLab
BI
Bitbucket
SL
Slack
MI
Microsoft Teams
JI
Jira
AZ
Azure DevOps
JE
Jenkins
FI
Figma
VS
VS Code
LI
Linear
ZA
Zapier
Plus REST APIs, webhooks, and SDKs for anything custom.
Analytics
Quality intelligence for engineering leadership
Real-time dashboards that answer the questions executives actually ask about software quality.
Defect velocity by release
Rolling 12 releases
R.1R.6R.12
Bug Trends
-31%
New defects per sprint
Team Performance
1.8x
Throughput per engineer
Resolution Time
3.4h
Median time to fix
Sprint Health
92
Composite health score
Release Readiness
94%
Gates passing
Technical Debt
-22%
Debt-tagged backlog
Quality Score
A+
Rolling 90-day grade
Productivity
+27%
Focus time recovered
Security & enterprise
Enterprise readiness, not an afterthought
Deploy in our cloud, your VPC, or fully on-premise — with the governance your security team expects.
Enterprise Security
Defense-in-depth architecture with continuous monitoring.
Role-Based Access
Granular permissions mapped to org, team, and project scope.
Single Sign-On
SAML and OIDC with SCIM user provisioning.
Audit Logs
Immutable, exportable trails for every privileged action.
Encryption
TLS 1.3 in transit, AES-256 at rest, customer-managed keys.
Compliance Ready
Controls aligned to common enterprise audit frameworks.
High Availability
Multi-region redundancy with a 99.99% uptime target.
Scalable Architecture
Proven across millions of issues and thousands of seats.
Security capabilities described here reflect the TaskSphere platform roadmap and configuration options. Contact our team for current certification status and a detailed security review.
Our vision
Building the AI Operating System for Software Quality
Bug tracking is the beginning. TaskSphere is evolving into an autonomous platform that manages the complete software quality lifecycle — detection, diagnosis, resolution, verification, and prevention — with AI agents working alongside your engineers.
AI-assisted tracking
Automated triage, deduplication, and prioritization across the enterprise.
Predictive quality
Release risk, regression forecasting, and test recommendations.
Autonomous agents
AI agents that reproduce, diagnose, propose fixes, and verify them end to end.
Pricing
Plans that scale with your engineering org
Indicative pricing shown. Final commercials are tailored to seat count, deployment model, and AI usage.
Team
For product teams standardising on one tracker.
$19
/ user / month
- Unlimited issues & projects
- AI classification & deduplication
- GitHub, Slack & Jira sync
- Core analytics dashboards
- Email support
Business
For scaling engineering organizations.
$45
/ user / month
- Everything in Team
- AI prioritization & risk scoring
- Custom workflows & automation
- SSO, RBAC & audit logs
- Release readiness reporting
- Priority support
Enterprise
For regulated, multi-team enterprises.
Custom
annual agreement
- Everything in Business
- VPC or on-premise deployment
- Customer-managed encryption keys
- Dedicated success architect
- 99.99% uptime SLA
- Custom AI model tuning
FAQ
Enterprise questions, answered
TaskSphere runs in our multi-region cloud, inside your own VPC, or fully on-premise. Enterprise customers choose the model that matches their data residency and network requirements.
Data is encrypted in transit with TLS 1.3 and at rest with AES-256, with optional customer-managed keys. Access is governed by role-based permissions, SSO, and immutable audit logs.
Native two-way integrations cover GitHub, GitLab, Bitbucket, Jira, Azure DevOps, Jenkins, Slack, Microsoft Teams, Figma, VS Code, Linear, and Zapier — plus REST APIs and webhooks for anything else.
Today the AI classifies incoming defects, detects duplicates, predicts severity and business impact, routes issues to the right owners, and surfaces resolution suggestions. Root cause analysis and release risk prediction are in beta.
No. Customer data is isolated per tenant and is never used to train models shared across customers. Optional private model tuning is available on Enterprise plans.
The platform is built for millions of issues and thousands of concurrent seats, with multi-region redundancy and a 99.99% uptime target on Enterprise agreements.
All plans include product support. Business adds priority response, and Enterprise adds a dedicated success architect, onboarding programme, and contractual SLAs.
Yes. States, transitions, fields, approvals, automation rules, and permission models are all configurable per project or team.
Get started
Ship faster with fewer bugs
Bring your defect lifecycle into one AI-native platform. Start free, or see TaskSphere mapped to your organization in a guided enterprise demo.
No credit card required · SSO available on all enterprise plans