Monthly pageviews served by Inline, the publisher AI platform Greg founded and leads.
Fractional engineering leadership and AI-native delivery
LyndhurstLabs
Principal-level execution and advisory for CTOs and founders.
The principal engineer you bring in when the architecture or AI strategy cannot afford a wrong bet.
Track record
Principal judgment, proven at scale.
Lyndhurst Labs is led personally by Greg Bekher, a founder and engineering leader. His prior work includes Amazon after earlier roles at Tripadvisor and Thrasio, and he is founder and CTO of Inline, an AI-native publisher platform serving tens of millions of pageviews a month with millions of questions answered by agentic AI.
Questions a month answered by agentic AI shipped at Inline.
Developer weeks saved through platform standardization work at Amazon.
From ambition to operation
For growth-stage and established teams. Systems that protect revenue and uptime.
Prior work
Where the judgment comes from.
Greg's work spans regulated pharmacy workflows, LLM-powered chat services, information security, edtech, e-commerce, travel, marketplaces, and high-traffic publisher platforms.
Agentic search & RAG
At Inline, Greg built publisher AI for retrieval over media content and streaming answers across high-traffic properties.
AI monetization
The AI monetization work turned reader questions into first-party audience signal and sellable inventory.
Inference pipelines
Transcription and inference pipelines were designed to stay cheap to run at volume.
ML in regulated workflows
At Amazon Pharmacy, the ML-powered clinical verification work treated a wrong answer as a safety incident.
Who this is for
Selective work for teams with high stakes.
- Scale-stage startups
- Marketplaces
- Regulated and healthtech teams
- Media and adtech
- E-commerce
- High-traffic web properties
- 0 to 1 platform builds
Capabilities
We do not hand off slide decks. We ship.
Engagements focus on the decision that cannot drift: an AI roadmap that needs a real system behind it, or a replatform that cannot fail.
AI engineering
Design and delivery for AI systems that need to be reliable enough to ship and disciplined enough to pay for themselves.
- Agentic systems
- RAG & search
- Evals & guardrails
- Inference pipelines
- Content ingestion
- AI monetization
Team acceleration
Hands-on coaching for teams adopting AI tools without lowering their standards for design or ownership.
- Claude Code
- Codex workflows
- AI engineering practices
- Technical mentorship
- CTO advisory
Platforms & architecture
Architecture support for the replatform or service boundary that will be expensive to unwind.
- AWS
- Distributed systems
- Web platforms
- Service architecture
- Infrastructure
- Replatforming
The engagement model
Principal-level execution with a founder's perspective.
When we take an engagement, it starts with the decision you cannot get wrong, then ends with a stronger team and software in production.
Lyndhurst Labs works directly with CTOs and founders through advisory or embedded fractional engineering leadership.
- Founder perspective 01
- Advisory with ownership 02
- Selective fractional scope 03
- Engineer upskilling 04
Start a conversation
Facing a replatform or AI bet you cannot get wrong?
Bring in senior judgment before the architecture gets expensive, or when the team needs a sharper path to shipped software.
Book 30 minutes