PulseDBAiPulseDBAi
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Stop Firefighting.Start Preventing.

PulseDBAi autonomously monitors, diagnoses, and remediates Oracle and SQL Server databases — 24/7. Routine fixes run autonomously; destructive actions are gated behind one-click human approval with full context. Autonomous where safe. Governed where it matters.

67-72%
Autonomous Remediation Share
Sub-minute
Mean Time to Fix (routine actions)
24/7
Continuous Monitoring
6 Layers
Autonomous Fix Pipeline
PulseDBAi-DB1PASSSLA BREACH
Production - Oracle 23ai - localhost:1521
AI Explanation
Most urgent: SLA breach — 42.1% uptime vs 99.9% target. 3 SEV1 issues require immediate attention.
Agent 1SKIPPED
Simulator
Production mode — live DB monitoring
Agent 2DETECTED
Detector
18 issues found across checks
Agent 3APPLIED
Corrector
Fixes attempted on SEV1/SEV2
Agent 4PASS
Verifier
All checks passed post-fix
Live Pulse - updates every 15s - last 11:58:34 PM
Active Sessions
2
Cache Hit %
99.43%
Blocking
0
DB Size MB
1,520
Active Sessionslast 60min
Cache Hit Ratio %last 60min
Uptime: 42.1%Last run: 3d ago
4 agents active
LIVE
[AGENT 2 — DETECTOR]SEV2: SYSTEM tablespace 97.5% full
[AGENT 3 — CORRECTOR]Gathering optimizer stats...
[AGENT 3 — CORRECTOR]FIXED — stats refreshed
[AGENT 4 — VERIFIER]VERIFIED — issue resolved
[SERVICENOW]INC0010183 created automatically
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4 AI AgentsAutonomous Workers
Oracle + SQL ServerEnterprise Databases
24/7 AutonomousAlways Monitoring
Sub-minute Auto-FixMean Time to Repair (routine actions)
25+ Health ChecksContinuous Validation

Currently Integrates With

Slack·Notifications
Email·Alerts
ServiceNow·ITSM

LLM Providers (customer-selectable)

Anthropic Claude·Cloud
Ollama·Local · Air-gapped
OpenAI·Cloud
Groq·Cloud
AWS Bedrock·Customer AWS
Azure OpenAI·Customer Azure

Air-gapped option: Ollama (local LLM) supported. Customer database telemetry never leaves the customer environment, regardless of LLM provider choice.

On the Roadmap

PagerDuty·Alerting
OpsGenie·Alerting
Microsoft Teams·Notifications
Datadog·Metrics export
Splunk·Log export
Industry-Wide Problem

The DBA Crisis

Sound familiar?

3AM Alerts

DBAs are routinely woken up for issues that could have been prevented or auto-fixed hours earlier. Pager fatigue is the #1 reason senior DBAs leave the profession.

Reactive Culture

Database teams spend the majority of their time firefighting incidents instead of strategic work — capacity planning, performance optimization, and architecture improvements.

Tool Overload

OEM, Datadog, SolarWinds — expensive monitoring stacks that detect problems but require humans to fix them. Zero autonomous remediation.

There's a better way. PulseDBAi changes everything.

How It Works

The 4-Agent Pipeline

Three agents run continuously in production. The Simulator runs in shadow environments for what-if testing.

01

Agent 1 — Shadow Mode

SIMULATE

Runs what-if scenarios in shadow/test environments — isolated from production, zero risk.

02

Agent 2

DETECT

AI analysis of 15+ health checks in real-time

03

Agent 3

CORRECT

Auto-applies safe fixes: stats, tablespace, blocking

04

Agent 4

VERIFY

Confirms fixes worked, opens ServiceNow tickets

Autonomous when safe
Sub-minute resolution for routine actions
Human review when needed
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Governed Autonomous Execution

CrossLinkis the governance and decision-replay system behind PulseDBAi's autonomous agents.

It transforms autonomous database operations from black-box automation into governed, replayable enterprise infrastructure.

Every autonomous action can be traced, replayed, confidence-scored, policy-explained, and verification-linked through a deterministic governance pipeline.

Instead of requiring teams to blindly trust AI automation, CrossLink provides audit-ready operational replayability, approval awareness, policy transparency, and explainable autonomous execution.

Autonomous when safe. Governed at every step.

CrossLink GovernanceCrossLink ReplayCrossLink ConfidenceCrossLink TraceCrossLink NOC

Customer-install ready

Self-deploy in minutes. No founder on the call.

First-run setup wizard

5-step browser wizard. Operator creates the superadmin user and configures the database connection. No code edits.

Zero hardcoded credentials

All credentials live in pdb_settings — masked, audit-logged, customer-controlled. Nothing in source.

Customer-controlled URLs

Notification email links route to the customer's installation domain. Never to a vendor URL or localhost.

Autonomous Layers

Six Layers of Autonomous Remediation

All shipped. All deterministic. All audited.

Layer 1

Kill blocking session

Deterministic. Opt-in. Three gates: exists, not privileged, still blocking.

Layer 2

Targeted stats refresh

V$SQL + Query Store regression-driven. Replaces blanket schema gather.

Layer 3

Plan baselines

Oracle DBMS_SPM auto-capture + SQL Server force_plan auto-restore on regression.

Layer 4

Predictive extension

Tablespace + datafile, 14-day linear regression, 7-day exhaustion trigger.

Layer 5

Recompile invalid objects

COMPILE_SCHEMA + sp_refreshsqlmodule. Runaway-guard. Protected-schema escalation.

Layer 6

Index rebuild

ONLINE rebuild on >30% bloat. Leaf-blocks guard. Top-10 / sweep cap.

Roadmap

From incident automation to full autonomy

Five phases. Each compounds the previous. Same denominator across all phases: share of DBA workload PulseDBAi handles autonomously.

01
Phase 01
FIREFIGHTING

Eliminate DBA firefighting

Reduce operational load
65%
realized
02
Phase 02
PREVENTION

Prevent incidents before impact

Reduce outages
67-72%
realized
03
Phase 03
RESILIENCE

Automate recovery workflows

Improve resilience
78%
target
04
Phase 04
GOVERNANCE

Enforce governance & compliance

Meet compliance
85%
target
05
Phase 05
OPTIMIZATION

Continuously optimize cost & performance

Lower cost
Stage 1
shipped

Where we are today

67-72% realized autonomous share measured across Oracle and SQL Server, with all opt-in safety flags ON.

Phases 1-2 deliver this realized share. Phases 3-4 ship Stage 1 wedges, targeting 78% and 85% respectively. Phase 5 is at Stage 1 shipped. A cross-phase Platform Self-Monitoring subsystem holds the platform itself to the same severity rigor it applies to customer DBs.

Stage 2 deepens autonomy (advisory → action with approval gate). Stage 3 expands the boundary of safe action. Both gated on customer telemetry validating safe behavior in production.

Trust Layer

The Trust Layer

Silent autonomy is a liability. We fixed that too.

When PulseDBAi takes action, the right people know in the right channel at the right time. Per-user preferences, quiet hours, audit trail, admin governance — all shipped.

Unified notifications

Slack + email immediate. Polling dispatcher. Quiet hours. Retry + ABANDONED fallback.

Daily SEV3 digest

Configurable time + IANA timezone. Empty-day skip. Watermark-guarded. Gmail-safe HTML.

Per-user preferences

Per-user TZ for quiet hours (DST-aware). Per-user read tracking. Mode flag: global / per-user / hybrid.

HTML immediate emails

Severity-colored banner. Generic detail formatter. Plain-ASCII subject for parser safety.

Admin Edit modal

Per-user override editing. Shared form component. Diff-based dirty tracking.

Migration wizard

3-step transition wizard with current-vs-after preview. Standalone admin actions card.

Magic-link approvals

One-click approve from email or Slack. Signed token, time-boxed, audit-logged. No console login, no separate auth flow during approval.

Compliance

Compliance Evidence, Derived from Live Data

PulseDBAi maps your operational telemetry to SOC 2 Trust Services controls — and the coverage status is derived from real query results, not hardcoded defaults. A control shows “covered” only when there's both a verification script and live evidence behind it; policy controls that need documentation are shown honestly as policy-only. Evidence is exportable for auditor review.

No competitor surfaces live-derived SOC 2 control evidence in the operations console.

Enterprise Platform Capabilities

Enterprise capabilities that make autonomy operable in production.

ServiceNow integration

ITSM ticket auto-creation. Credentials customer-controlled. Mask + skip-on-asterisk pattern. Integrations page with audit logging.

First-run setup wizard

5-step browser wizard for self-deploy. Zero hardcoded credentials. Customer-controlled api_host. Superadmin role hierarchy.

Modernized DBA report

PostgreSQL-backed 19-section dashboard at /report/dba/{run_id}. Browser-native PDF export. Plugin-wrapping endpoints. Zero schema changes.

Database Coverage

Enterprise-Grade Coverage

Deep native support for the databases that power enterprise.

Oracle Family

Oracle 19c

LTS Release

Oracle 21c

Innovation

Oracle 23ai

AI Features

PulseDBAi

Unified Intelligence

SQL Server Family

SQL Server 2019

LTS Release

SQL Server 2022

Latest LTS

Coming Soon

PostgreSQL

Soon
Platform Features

Everything You Need

One platform. Every capability your database team needs.

Autonomous Remediation

No alert fatigue. No runbooks. PulseDBAi takes action — rebuilding indexes, extending tablespaces, killing sessions — based on your approved policies.

Predictive Analytics

ML-powered trend analysis forecasts tablespace exhaustion, memory pressure, and query plan regressions days before they become incidents.

Audit-Grade Logging

Every action PulseDBAi takes is logged with before/after metrics, the reasoning chain, and a rollback plan — ready for compliance review.

Smart Escalation

When autonomous fix confidence is below threshold, PulseDBAi escalates with a fully-formed incident report — not just a raw alert.

Multi-DB Fleet View

Manage hundreds of Oracle and SQL Server instances from a single pane. Fleet-wide health scores, cross-instance anomaly correlation.

On-Prem & Cloud Ready

Deploy as an agent inside your network or connect via encrypted tunnel. No data leaves your environment without explicit configuration.

About the Founder

Built by a DBA, for DBAs

PulseDBAi is built by a senior Oracle DBA with 20+ years of enterprise database operations experience. Every autonomous remediation, severity rule, and fix pattern in PulseDBAi comes from real production scars, not theory.

20+ Years

Enterprise Oracle and SQL Server operations across financial services, telecom, and Fortune 500 environments.

Active Development

PulseDBAi ships production releases on a near-daily cadence. Built over 18+ months of independent development. Owned 100% by the founder.

67-72% Autonomous · Trust Layer Shipped

67-72% autonomous remediation on customer-managed Oracle and SQL Server databases — plus an enterprise trust layer (per-user notifications, audit, governance) that competitors lack.

Why PulseDBAi

How PulseDBAi Compares

Concrete capabilities. No marketing math.

CapabilityTraditional
PulseDBAi
Detects issues
Predictive (forecasts the issue)
14-day regression
Plan baseline auto-restore
DBMS_SPM + force_plan
Auto index rebuild
ONLINE, gated
Per-user notifications
Slack + email + HTML
Audit trail with rollback path
append-only
Live-derived compliance evidence
SOC 2, live-derived
Governed approval (magic-link)
email/Slack, audit-logged
Air-gapped LLM option
Ollama
Customer-controlled deployment
always
Setup time
< 1 hour

Stop Babysitting Your Databases

Join the design partners who let PulseDBAi monitor, predict, and fix their Oracle and SQL Server estates — autonomously.

Currently in design partner stage. Pilot deployments by invitation.