One fixed senior team, from proof of concept to production.
A fixed senior team takes a product, platform, or internal tooling build from proof of concept to working product and production hardening.
Google Cloud Premier Partner
Elastic Generative AI Partner
70+ certified engineers
Fortune 500 platform engineering
Your roadmap already has AI on it. SquareShift builds the platform work that decides whether it ships.
We work with technology and SaaS teams across workflow automation, AI-led app and platform engineering, governed analytics, search, observability, and AI use inside software delivery.
01Credibility
We understand the product, data, search, and reliability systems behind SaaS growth.
Our work covers SaaS product expansion, BigQuery and Looker platforms, Elasticsearch on Kubernetes, search performance, cloud cost, and production observability.
One team across Google Cloud, Looker, Elastic, and AI engineering.
Software companies rarely have a product problem, a data problem, and a search problem separately. We staff them as one system.
7new marketplaces reached for a talent-management SaaS platform.
70+TBSnowflake analytics workload migrated to BigQuery.
21TBper region carried through an Elasticsearch on Kubernetes upgrade.
10x faster friction analysisBillions of clickstream events organized for repeatable user-friction findings.
SaaS marketplace expansionLearning platform embedded into Microsoft Teams, Salesforce, and five more tools.
Product analytics rebuildDashboard refresh moved from hours of ETL lag to under 10 seconds.
Search performance recovery47-node Elasticsearch cluster tuned for 35 million users and 90,000 requests per second.
ProductUser-friction analysisTurn clickstream, session, and product-event data into ranked findings for roadmap planning.
SecurityVulnerability triageUnify scanner findings and advisories into remediation guidance analysts can review.
SupportCase routingClassify tickets, suggest next actions, and keep approval on customer-impacting responses.
Customer successRenewal signalsSummarize product usage, incidents, support history, and adoption gaps before account reviews.
Finance opsCloud tagging workflowsStandardize product, project, subscription, and account metadata for cleaner cloud-cost reporting.
EngineeringRelease checksGather issue, code, telemetry, and rollback evidence before release review.
ProductAdoption analysisAsk which features changed activation, retention, usage depth, and expansion.
SalesPipeline questionsCompare region, segment, product line, and training activity with governed metric definitions.
FinanceARR and usage viewsConnect revenue, product usage, cloud cost, and customer cohorts in one governed model.
Customer successAccount healthShow usage drops, ticket volume, incidents, and renewal risk in one decision view.
LeadershipBoard-pack evidenceTrace answers back to approved metrics and reduce spreadsheet reconciliation.
Data teamsSemantic layer adoptionMove repeat questions into governed self-service while keeping definitions and permissions controlled.
Data platformSnowflake to BigQueryMigrate high-volume product analytics workloads and keep dashboards fast after cutover.
AnalyticsDashport migrationsMove Tableau, Power BI, Qlik, Domo, and legacy reporting assets into Looker with validation.
ProductEmbedded analyticsPut Looker reports directly inside a SaaS product, portal, or customer workspace.
RevenueData monetizationPackage customer-facing reporting with tenant separation and governed access.
OperationsReal-time reportingReplace nightly batch reporting when teams need current product numbers.
GovernanceMetric trustUnify web, product, sales, and BI definitions so product metrics reconcile across teams.
ProductIn-app searchImprove relevance across apps, marketplaces, catalogs, profiles, and product data.
PerformanceLatency recoveryRetune Elasticsearch clusters after migration, growth, or index design drift.
SupportAnswer retrievalUse AI Answers over help docs, tickets, release notes, and policy content.
Internal toolsKnowledge searchSearch engineering docs, runbooks, wiki pages, customer notes, and operational records.
SecurityPermission filteringEnforce document and field permissions inside retrieval before ranking happens.
PlatformMulti-tenant controlsStandardize index lifecycle, sharding, dashboard access, and API-key governance.
SREIncident detectionCorrelate application, infrastructure, search, and pipeline signals before customers report failures.
PlatformElastic migrationsMove from Splunk, Graylog, or older Elastic estates with pipeline and dashboard parity.
CostTiered storageMove cold telemetry and infrequently accessed data into cheaper storage patterns.
On-callNoise reductionUse anomaly detection and triage rules to reduce alerts that can stay automated.
SecurityCloud security logsStandardize ingestion for identity, endpoint, network, and cloud-security telemetry.
Global opsDashboard rolloutSupport multi-region teams with localized dashboards, controlled access, and migration governance.
07AI-led app and platform engineering
Ship the AI product and platform work the roadmap keeps pushing out.
A senior team owns the build end to end: architecture, delivery, security review, and the production handoff.
Make AI-assisted engineering usable across the team.
We help teams already using AI coding tools standardize practices, review paths, security rules, and delivery evidence.
Embed a senior builder where the workflow lives.
A SquareShift engineer embeds with product, support, security, finance, or operations teams and ships against real system constraints.
08AI observability for technical buyers
Once AI is in the codebase and in production, someone owns its cost, security, and quality.
Compass AI and Atlas AI help leaders see AI cost, security, compliance, prompt operations, and quality across software delivery and AI applications.
Compass AI makes AI-assisted engineering visible.
Compass AI is for teams already using Cursor, Codex, Claude, or IDE assistants. It shows cost, adoption, developer use, security exposure, and compliance evidence on the Elastic deployment they already run.
- Track AI spend by team, tool, model, and task.
- See who wrote what code with which AI system.
- Flag secrets, customer data, and risky prompt behavior.
- Turn AI-assisted engineering adoption into operational evidence.
Atlas AI watches production AI applications.
Atlas AI is for teams running chatbots, copilots, agents, and retrieval-augmented apps. It focuses on AI app cost, prompt operations, security controls, compliance visibility, and answer quality.
- Show what every AI app costs across models and workloads.
- Review prompts across applications through a Prompt Workbench.
- Track security and compliance controls for AI-enabled workflows.
- Measure answer usefulness, availability, and retrieval precision.
Bring the AI feature, platform backlog, search problem, analytics move, or reliability gap that needs to ship next.
Talk to SquareShift