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Built in the US for production teams

Software and AI built to hold up in production.

Coreline Software designs and ships secure platforms and AI integrations for teams that can't afford downtime. Clear scope, steady delivery, and production readiness from day one.

Security-first delivery
Discovery → build → run
What we ship

AI workflows

Retrieval, guardrails, and orchestration with compliance and auditability baked in.

Platform & dashboards

Operational UIs, APIs, and integrations with observability and access controls from the start.

Data & infra

Pipelines, cost controls, and runbooks your team can own after launch.

Services

Services that get you to a stable launch.

A focused set of offerings that keep scope tight and delivery accountable.

AI integration

LLM assistants, retrieval, and guardrails wired for uptime and review.

Use-case design with prompt ops and evaluation loops

Retrieval with data governance, audit, and access controls

Guardrails for PII, safety, and policy enforcement

Platform engineering

APIs, dashboards, and partner integrations with observability built in.

Product planning with lean delivery roadmaps

Frontends and admin tools for operations teams

Authentication, authorization, and instrumentation from day one

Data & infra

Data pipelines, reliability, and cost control you can hand to your team.

Streaming and batch ingestion tuned for latency and spend

Monitoring, alerting, and runbooks for production readiness

Cloud-native architectures with security-first defaults

How we deliver

Discovery through support, with clear handoffs.

We keep batches small, decisions visible, and production readiness in scope.

Step 1

Discovery

Map systems, align on outcomes, and agree on acceptance criteria.

Step 2

Build

Iterate in small batches with demos, decision logs, and observability.

Step 3

Launch

Hardening, reviews, and rollout plans that fit your risk posture.

Step 4

Support

Runbooks, monitoring, and knowledge transfer so your team can own it.

How we work

Discovery, build, and run with clear ownership.

Low-friction engagements, direct communication, and production readiness.

Step 1
Discovery

Align on the problem, map systems, and define outcomes with your stakeholders.

Step 2
Build

Tight iterations ship usable milestones—APIs, UI, and AI flows wired end-to-end.

Step 3
Run

Hardening, monitoring, and playbooks so teams can run and evolve the system.

Selected work

Outcomes that stay reliable after launch.

Operations platform
AI-assisted support triage with guardrails

Problem: Support tickets were slow to route and needed consistent escalation rules.

Solution: Designed an AI-assisted triage flow with retrieval, escalation guardrails, and integrations to the existing ticketing and auth stack.

Outcome: Reduced handling friction post-launch; faster routing without bypassing controls.

Fintech risk team
Data foundation for risk insights

Problem: Analysts waited on engineering to ship new alerts and dashboards.

Solution: Built governed ingestion pipelines and a clear data model with lineage, plus review workflows and dashboards for analysts.

Outcome: Analysts shipped new alerts without waiting on engineering cycles.

Healthcare services
Compliance-aware AI assistant

Problem: Clinical ops needed AI support without risking PHI exposure.

Solution: Implemented retrieval-augmented responses with PHI redaction, access controls, and audit trails; partnered with security for review.

Outcome: Improved documentation completeness while meeting internal compliance expectations.

Security & Responsible AI

Practical safeguards without slowing delivery.

What we bake in from the start.

Secure by default: auth, auditability, and access controls in the first iteration.

Data privacy: minimize collection, least-privilege access, and customer-owned data domains.

Responsible AI: no sensitive data retention by default; guardrails and evaluations for safety.

Trust & Security

Built with security and responsible AI in mind.

Practical safeguards without slowing delivery.

Secure by design

Access controls, auditability, and observability are baked in from the first sprint.

Data privacy

We minimize data collection, keep least-privilege defaults, and respect your governance model.

Responsible AI

No sensitive data retention by default. Guardrails and evaluations tuned for safety and compliance.

Ready to move this forward?

Tell us what you need. We respond within one business day.