We work with mid-market and enterprise companies. The same senior engineers see every project through: platform, AI integrations, and the growth side. No junior handoff, no three-vendor coordination.
Senior engineers who also know AI and growth. So you don't end up coordinating three vendors who each blame the other two.
Custom platforms, internal tools, and B2B products. TypeScript, Python, Go, AWS or GCP — picked for fit, not novelty.
LLMs and agents where they actually save hours or close deals. Internal ops or customer-facing flows. We've shipped both.
Performance, lifecycle, and product-led growth — run by people who can also write the code that makes any of it measurable.
No black-box methodology. Weekly demos with working software. Shared dashboards from day one.
Two-week diagnostic. Stakeholder interviews, system audit, technical risk map, success metrics. You leave with a written architecture and roadmap. Yours to keep, even if we don't ship together.
Senior architects design the system end-to-end before production code is written. RFCs reviewed by your team. ADRs documented. Threat-modeled where it matters.
Two-week sprints. Weekly demos with working software. Continuous deployment from sprint one. Tests, observability, and docs are part of done.
We hand off to your team or stay as a managed practice. Runbooks, on-call rotation, full knowledge transfer. Designed so leaving is as clean as starting.
Senior pods, weekly invoicing, scope flexibility. Best for evolving products.
Defined scope, defined price. Best for discrete builds with clear requirements.
Reserved capacity, monthly cadence. For ongoing work.
Most of our work is under NDA. The snapshots below are anonymized but representative of the last 24 months.
Replaced a batch scoring pipeline with an event-driven system in Rust and Kafka. Decisioning moved from minutes to sub-second, and the architecture absorbed launch traffic without re-work or downtime.
Built a domain-grounded RAG copilot with an evaluation harness and a guardrails layer. Shipped within the quarterly launch window and rolled into the company's enterprise tier.
Replaced a tangle of spreadsheets and chat threads with one operations platform: scheduling, triage, billing reconciliation. Removed manual coordination from front-desk work and consolidated reporting across the network.
Domain knowledge compounds across projects, so we mostly take work in industries where we've already done the homework.
Payments, risk, lending, compliance
Platform engineering, AI features, growth
Clinical ops, telemedicine, billing
Storefronts, checkout, lifecycle
Fleet, dispatch, real-time tracking
Publishing, recommendation, monetization
We pick tools for fit and maturity, not for being on the front page of Hacker News. Boring tools where reliability matters. New tools when they pay for themselves quickly.
No layered staffing. The people who design your system are the people writing it.
Distributed systems and platform engineering. Built and shipped at venture-backed startups before founding Indieline.
Applied ML and LLM systems. Has shipped agent infrastructure into production for B2B SaaS.
Started in performance marketing, learned to write production code along the way. Runs growth where it overlaps with the product.
We usually respond within one business day. The first scoping call is free, and we'll point at something specific you can act on whether or not we end up working together.