Salesforce
Objects, pipelines, lifecycle wiring, and data sync with downstream billing and analytics systems.
Integrations
We implement and connect the tools startups already use — CRM, billing, cloud, and CI/CD — without forcing a rip-and-replace.
CRM & ERP
Objects, pipelines, lifecycle wiring, and data sync with downstream billing and analytics systems.
Portals, deal stages, sequences, and marketing-ops connections to billing and support.
Data mapping, operational sync patterns, and CRM-to-ERP reconciliation with validation checks.
Payments & Billing
Billing events, subscription hooks, failed-charge recovery, and reconciliation with CRM data.
Home-grown or legacy billing systems connected to your CRM, data store, or support queue.
CI/CD & Source Control
Build, test, and multi-environment deploy workflows with secrets management and rollback jobs.
Pipelines for monorepos or multi-service architectures with staging and production gates.
Cloud & Infrastructure
ECS / EC2 / Lambda deploy targets, IAM baselines, Secrets Manager, S3, and VPC configurations.
App Services, Container Apps, Key Vault, and Azure DevOps pipelines for .NET and Node stacks.
Repeatable infra baselines: networking, compute, secrets, and state management across envs.
Data & Notifications
Schema migrations, pilot imports, row-count validation, and safe production cutovers.
Deploy alerts, sync failure notifications, and handoff messages from CI/CD and integration pipelines.
Custom connections between any two tools that expose an API — no matter how niche the stack.
Common stacks
Patterns for seed to Series B teams — not an exhaustive list. If you see your stack here, we’ve done it before.
RevOps
Deal-to-invoice flow: pipeline stages trigger billing events, failed charges surface in Slack, and finance stops reconciling in spreadsheets.
Product SaaS
CI on every PR, CD to staging on merge, production behind a tag. Migrations run as a pipeline step with rollback artifact on deck.
Scale-up
Object sync keeps CRM and ERP aligned, webhook reliability prevents silent failures, and validated Postgres loads give analytics a trustworthy source of truth.
How we approach it
We map objects, events, and failure modes before touching any system. No surprises after the invoice.
Every integration is tested against sandbox or staging before anything touches production data.
At handoff your team gets a runbook: what runs where, how to rotate credentials, and how to debug the most common failure.
If it has an API or webhook, we can almost always wire it. Tell us what you run and we’ll tell you if it fits.