No one maintains the system model
Database telemetry cannot see application intent. Code tools cannot see production behavior. Infrastructure context arrives in a third place.
Application + database + infrastructure, understood together
The whole system.
One plan in motion.
Sentiko builds a living model of how your application, database, and infrastructure work together. It turns that context into a holistic plan, keeps the work moving across your tools, and brings you in only when a decision needs you.
- ✓ Application + infrastructure context
- ✓ Continuous + on-demand audits
- ✓ A plan that stays current
SEN-142 · Active initiative
Restore provider dashboard query efficiency
System context
4
evidence domains linked
Plan progress
3 / 5
steps carried forward
DB time / request
Current strategy
Confirm ownership, predict the safest intervention, bound write risk, coordinate the change, then observe the production outcome.
Four agent-owned steps are moving. One release-window decision needs the application team.
Registered outcome
DB time below 0.78 s for 48 hours
Guard metric
Write p95 below +5%
Awaiting deploy
One decision needs youSentiko is carrying the other four steps.
Understand the system
Set the outcome
Build the plan
Keep it moving
Learn and re-plan
The real bottleneck
Your persistence layer has plenty of signals. It does not have an owner with the whole picture.
Application code, query behavior, schema, infrastructure, deployments, and team decisions live in different systems. Engineers reconstruct that context by hand—then become the workflow engine that keeps every follow-up moving.
Coordination defaults to a human
Someone has to turn findings into a plan, chase owners, preserve constraints, notice drift, and decide what happens next.
Operational knowledge never compounds
Reasoning, team context, failed attempts, and production outcomes disappear into dashboards, tickets, pull requests, and chat history.
Continuous coverage
Hundreds of signals, evaluated continuously, on every change, or on demand.
Sentiko evaluates evidence across application code, query behavior, plans, schema, database settings, infrastructure, and deployment history. A growing catalog turns those signals into precise findings about inefficiencies, reliability concerns, and persistence-layer security risks.
100sof code, database, and infrastructure signals
100+detector patterns in the growing catalog
↑new patterns added continuously
More signals do not mean more noise. Evidence, impact, and confidence gates determine what is worth bringing to your team.
01Always on
Watch the system as it changes.
Sentiko learns normal query and workload behavior, then detects new hot paths, plan shifts, capacity pressure, configuration drift, and other meaningful regressions.
Production baselines · deploy-aware · continuously re-evaluated02Every change
Look for regressions before and after code ships.
Code and migration changes are evaluated against live workload and system context for likely query, transaction, schema, connection, security, and operational regressions. Predictions remain distinct from measured production results.
Application diffs · migrations · production verification03On demand
Audit everything—or exactly what matters.
Run a full persistence-layer audit at any time, or target a service, code path, query, schema, table, change, or risk category. The findings enter the same system model and plan.
Full posture · targeted scope · one durable resultOne living system, one current plan
From scattered system facts to work that keeps moving.
Sentiko continuously connects what the application intends, what Postgres is doing, what the infrastructure can support, and what your team has already learned.
01 · Model
Build a living model of your persistence layer.
Sentiko joins application structure and intent with query behavior, schema and indexes, deployment history, infrastructure conditions, and the decisions your team has already made.
- Code paths, ORM behavior, jobs, and ownership
- Postgres workload, plans, catalog, and runtime evidence
- Infrastructure, deploys, constraints, and prior outcomes
PG
Postgres runtimeWorkload, plans, waits, and schema
current</>
Application modelCode paths, ORM calls, jobs, and owners
indexedINF
Infrastructure contextCPU, I/O, connections, and topology
optional⇅
Operational memoryDeploys, decisions, attempts, and outcomes
durable
02 · Plan
Turn that context into a holistic, executable plan.
Sentiko does not stop at a recommendation. It defines the goal, success metric, dependencies, owners, guardrails, observation windows, and the sequence of application and infrastructure work required to reach the outcome.
- Code, migration, configuration, observation, and human steps
- Alternatives, risk, rollback, and verification designed together
- Plans re-version when evidence or team constraints change
Active strategyPlan v2 · five coordinated steps
In progress
UnderstandPredictChangeObserveLearn
✓
Confirm query ownership and competing workAgent · evidence criterion met
Done✓
Predict benefit and bound write riskAgent · HypoPG + workload model
Done3
Prepare the guarded interventionAgent · checks and rollback attached
Running4
Confirm an uncontaminated release windowApplication owner · one precise decision
Needs you5
Observe the production success metricAgent · begins after deployment
QueuedSentiko keeps the plan current as evidence, constraints, and outcomes change.
03 · Coordinate
Keep the work moving without making you babysit it.
Sentiko advances routine steps, watches dependencies, carries context between tools, and re-plans when reality changes. People are pulled in for judgment, approval, or missing organizational context—not status chasing.
- A weekly heartbeat when everything is healthy
- A precise escalation when a decision blocks progress
- One canonical state across every connected surface
S
Sentiko heartbeat · #db-reliabilityYour persistence plan is moving.
Healthy3steps advanced
1decision needed
0failed checks
Needs Nadia
Confirm no provider-query rewrite ships in the 48-hour observation window.Approval advances only this step. It does not merge or deploy anything.
Review decisionConsoleSlackGitHubDatadogMCPJira
04 · Learn
Measure what happened and make the next plan smarter.
Sentiko follows the work into production, evaluates the registered success and guard metrics, records failed or inconclusive attempts, and feeds every measured outcome back into the system model and playbook.
- Resolved, not resolved, and inconclusive are real outcomes
- Prediction and production result remain visibly different
- Local history improves planning, priority, and trust over time
✓
Production outcomeDB time fell 38%
ResolvedBaseline0.68 s
Regression1.42 s
Post-fix0.61 s
Medium verification48-hour windowPlaybook updated
One plan, every surface
Sentiko meets the work where it already happens.
You should not have to babysit another console. Every surface projects the same system context, plan, pending decisions, and current outcome—with the depth appropriate to that moment.
Explore the cross-surface prototypeSlackAmbient
Understand the week in seconds.
Healthy heartbeat, meaningful movement, and precise escalations only when the plan needs a person.
ConsoleInspect
Descend into the complete reasoning.
System model, plan strategy, evidence, alternatives, challenges, outcomes, and audit history.
GitHubReview
Bring production context to the change.
Affected workload, risk, checks, rollback, and verification follow the work into normal code review.
DatadogObserve
Project the plan into live operations.
Optional generated dashboards, observation windows, infrastructure context, and bounded actions.
Jira / LinearCoordinate
Keep team process synchronized.
Assignment, sprint, notes, and status stay aligned without turning a ticket into the evidence store.
MCP / CLIBuild
Give coding agents the full context.
Precise production evidence, active-plan context, and guarded workflow commands inside the developer loop.
Autonomous follow-through, honest conclusions
The plan keeps moving. The truth does not get polished.
When a step fails, evidence changes, or production is noisy, Sentiko preserves what happened and re-plans. It can say the outcome failed, the evidence conflicted, or more context is required.
See an inconclusive outcome in the prototypeResolved
The registered metric moved and guard metrics held.
Not resolved
The attempt is preserved and the initiative returns to planning.
Inconclusive
Missing power or a confounder blocks a stronger claim.
Trust before access
Guardrails let the plan move safely.
Sentiko is useful because it sees across production and application boundaries. Its access, authority, evidence rules, and human control points are therefore part of the product—not deployment footnotes.
Read-only by construction
Metadata and safe statistics only. Sentiko receives no table-data access and no production write credentials.
People decide; Sentiko follows through
Routine steps advance inside explicit guardrails. Sentiko asks a precise question when judgment is required, then carries the answer through the plan.
Built for your boundary
BYOC and in-VPC deployment are first-class. Raw telemetry, source, and the outcome ledger stay inside your environment.
Every claim is inspectable
Evidence source, freshness, confidence, alternatives, and the rule behind every verdict remain available for review.
Persistent context, not one-shot reasoning
The system model gets smarter as the work moves.
Every investigation, constraint, decision, challenge, failed attempt, and measured result updates the same persistence-layer memory. The next plan begins with everything the system and team have already learned.
Inspect a plan in the prototypeContinuously understandsUses that context to
Application code, ORM behavior, jobs, and ownersConnect production behavior to application intent
Postgres workload, schema, plans, and infrastructurePlan across application, database, and operations
Deployments, team notes, policies, and dependenciesKeep the plan current without repeated explanation
Challenges, attempts, and measured outcomesImprove the next priority, plan, and prediction
Built for application teams
Database ownership without a dedicated DBA shouldn’t mean database guesswork.
Sentiko gives tech leads and platform engineers the whole-system context and maintained plan that database ownership otherwise demands they reconstruct and coordinate by hand.
✓
Postgres is on the critical pathRDS, Aurora, Cloud SQL, Supabase, Neon, or self-managed.
✓
Persistence work crosses organizational boundariesApplication, platform, infrastructure, and observability context all shape the right plan.
✓
You want agent follow-through, not another advisorHuman-confirmed where judgment matters; ambient orchestration everywhere else.
Design-partner program
Bring us one persistence goal worth owning.
We’re working with a small group of Postgres teams to validate how system context becomes a plan that actually keeps moving. Start with a short conversation about where persistence work gets stuck today—no connection required.
- Map the application, database, and infrastructure context around one goal
- Design the complete plan, human decisions, and outcome contract
- Choose the Slack, GitHub, observability, tracker, and agent surfaces that matter
Questions we expect
Clear boundaries, from day one.
Do we have to babysit another console?
No. The console is for scrutiny, control, and audit. Routine operation arrives through a weekly heartbeat and the surfaces your team already uses. Sentiko escalates only a precise decision or blocker.
Can we run an audit without waiting for Sentiko to find something?
Yes. Run a complete persistence-layer audit or scope one to a service, code path, query, schema, table, recent change, or risk category. On-demand findings join the same context, prioritization, and planning workflow as continuous detections.
Does Sentiko only generate pull requests?
No. A pull request is one possible step in a broader plan. Sentiko also builds system context, prioritizes initiatives, coordinates human and agent work, manages observations, follows deployments, verifies outcomes, and preserves what the system learned.
Does Sentiko write to production?
No. Sentiko reads database metadata and safe operational statistics through a restricted role. Any change still moves through the customer-controlled system appropriate to that step.
Do we need Datadog?
No. Direct Postgres evidence supports the complete workflow. Datadog is an optional source of application and infrastructure context for teams that already use it.
How much authority does Sentiko have?
You define the guardrails. Sentiko can autonomously advance routine analysis, planning, coordination, and observation steps. Judgment-heavy changes remain human-confirmed, and production writes stay in customer-controlled systems.
What happens when a fix does not work?
Sentiko records a not-resolved outcome, preserves the attempt, and returns the initiative to planning. If the evidence is too weak or contradictory, it reports an inconclusive result rather than inventing confidence.