Independent Codebase Intelligence

Your system is running on decisions nobody remembers.

See before you strike.

A continuous read of every signal in your stack — code, commits, tickets, roadmaps, ownership, data. It surfaces what's changing before you ask. It answers what you're about to decide.

Get a Read → Find your moment

One conversation. No pitch deck. We'll tell you if we can't help.

Two weeks · Fixed price · Read-only · No engineering meetings

Why now

Every departure took context nobody wrote down.

Every decision left a gap nobody mapped. Now those gaps are running your company.

Your CTO leaves tomorrow.

Would anyone know why half your architecture exists?

Your billing system runs on logic one engineer fully understands.

They have a job offer. What happens Monday?

The board is asking about AI risk.

The meeting is Friday. What's actually running in production?

You can't carry the answers on intuition anymore.

What you receive

Two weeks in. Here's what arrives.

Not a 200-page PDF. A signed read your board can act on, and a live layer your team can query when the next question shows up.

Executive briefing

The read in one signed document. Board-ready. Decisions surfaced, defended with sources.

Five stories

Architecture. Knowledge. Risk. Velocity. Investment. Each one a decision you can act on.

Risk map & tech debt quantification

Ranked, mapped to your business domains. Active risks separated from dormant. Technical debt quantified in dollars and time. Sourced to the commit.

Knowledge concentration view

Who holds the keys, what breaks if they leave, where the hero problem lives. The map of key person risk across your engineering organization.

Architecture dependency view

The system you actually have, not the one in the wiki. Mapped to your domains and features.

AI footprint

Every model running where, on what data, making which decisions. Built for board reporting.

Continuous intelligence layer — stays live in your stack

Connects to your reporting, your developers' IDEs, your PM tools, and via MCP to the LLM you already use. The signed read is what your board sees. The layer is there for the next question, without another engagement.

How it works

We don't scan. We read.

Three disciplines in sequence. Each one closes a gap the others can't. That's why the answer is defensible.

01 Precision Deterministic static analysis surfaces what's actually in the code — not what an LLM guesses is there. AI is used only where inference is the right tool.

02 Correlation Code is tied to commits, tickets, PRDs, roadmaps, ownership, logs, tests and data — over time, not at one snapshot. A pattern in one source is noise. A pattern across all of them is a finding.

03 Business decomposition Every finding maps to your domains, sub-domains and features. You see the system the way you run the business — not the way the repo is organized.

Technology surfaces the data. Judgment writes the read. We call this decision archaeology — the discipline by which a multi-source, temporal read produces answers you can defend. A model alone can't replicate it.

The read, end to end

From every signal to a single answer.

Five source streams. One correlated read. The artifacts your board acts on, plus the layer your team queries when the next decision lands.

Week 0

Connect

Read-only access to your codebase, commits, tickets, roadmaps and ownership. One 30-minute call. Your team keeps shipping.

Week 1

Read

Deterministic analysis surfaces what's there. Multi-source correlation ties it together, over time. Every finding gets mapped to your domains.

Week 2

Deliver

The signed read for your board. The intelligence layer live in your stack — in reporting, in the IDE, in your PM tools, via MCP to your LLM.

Why FLS

Every other approach is one leg of the stool.

Each class of tool answers part of the question. We answer the question.

Approach	What it gives you	What it misses
Code-quality scanners	A score on the syntax.	No correlation to commits, decisions, ownership or business domain.
Knowledge-capture tools	A snapshot of what engineers know today.	No deterministic read of the code itself. No view across time.
Agentic AI on your repo	An engineer's exploration, accelerated.	Engineer-shaped output for engineer judgment. Not a board-ready, business-mapped read.
Internal team	Deep context on what they built.	The same opinions you already have. No independence. No attestation.
Big 4 / consultancies	A 200-page PDF and a $300K invoice.	8–12 weeks. Dozens of interviews. Nothing your team can query next quarter.
Founders Led Studio	An independent, business-mapped read. Plus an intelligence layer your team queries every day.	Two weeks. Fixed price. No meetings.

Continuous intelligence

The read stays alive.

Code evolves. People leave. Roadmaps shift. The layer updates as the system changes — so the read you took to the board last quarter still matches the read your team is operating on today.

System drift

Where the architecture has moved since the last read. New dependencies. New single points of failure.

Ownership shifts

Departures, new hires, domains that quietly changed hands. The map of who knows what, kept current.

Roadmap vs. reality

Is the team building what the board approved — or has the work drifted? Surfaced before the quarterly review, not after.

What we call this

Vocabulary.

If we use a term, it means something specific. Here's the lexicon — useful when you talk to your board, your team, or another vendor.

Decision Archaeology: The discipline of reading code, commits, tickets, PRDs, roadmaps, ownership, tests, logs and data together over time — to surface the sequence of decisions that shaped a software system. The method behind every read we deliver.
The Read: The output of decision archaeology. An independent, multi-source, temporal correlation, mapped to your business domains. A signed document for your board. A live layer for your team.
Multi-source Correlation: Tying findings across code, commits, tickets, roadmaps, ownership, tests and data — over time, not at one snapshot. A pattern in one source is noise. A pattern across all of them is a finding.
Business Decomposition: Mapping every finding to your domains, sub-domains and features — not your repo tree. The lens that makes the read board-readable instead of engineer-readable.
Continuous Intelligence Layer: A live read in your stack — connected to your reporting, your developers' IDEs, your PM tools and via MCP to whichever LLM you already use. The read stays current as the system changes.
Independent Codebase Intelligence: The category. Independent of your team, your CTO, your incumbent vendors. Codebase — because we read every signal the system emits, not just interview the people. Intelligence — because the output is a defensible read, not a data dump.

What we lead with

We lead with the read. Independent. Defensible. Yours.

We deliver the map. Whether we ride along comes next.

What you do with the read is your call. If you want a partner on execution, modernization or what to build next — that's a different conversation. We can have it.