LinkLabs builds and operates its own software. PitLane came out of years of triaging Android and Android Automotive OS defects on live vehicle programs. Loov came out of watching regulated engineering teams force safety and traceability obligations into tools that were never designed for them. Talgud came out of asking what is left of a software company once the coordination work itself can be staffed by agents. All three are production systems on our own cloud infrastructure, not concept demos.
AI-assisted log triage for Android and Android Automotive OS. PitLane takes a multi-hundred-megabyte logcat, dmesg, or bugreport capture and turns hours of manual scrolling into a ranked set of issues with a root cause narrative and cited evidence lines.
Parsing runs entirely client side in a browser Web Worker, into compact columnar structures built for very large captures. Only a small, bounded evidence excerpt is sent for AI analysis. Vehicle logs are among the most sensitive artefacts an OEM programme produces, and this architecture was chosen specifically so that constraint is respected by design rather than by policy.
A rule based detector layer runs before any model is involved, so the common platform failure signatures are found reliably and repeatably. The AI layer then reasons over that evidence to explain causality across subsystems, rather than being asked to read a raw log from scratch.
One pass over the capture returns ranked issues, severity, affected subsystem, a causal narrative, and the exact log lines that support each conclusion. Every claim is clickable back to its evidence.
Describe the symptom in plain language, for example a black screen on the centre display after a cold boot, and PitLane gathers the relevant evidence from the capture and answers against it with line level citations.
Multi turn questioning against the same loaded capture, with no re-upload and no loss of context between turns. Useful when a defect review turns into a conversation rather than a single question.
Filtering is expression based rather than a set of dropdowns, so a filter can be shared in a ticket or a chat message and reproduced exactly by the next engineer.
PitLane ships with the administrative layer an engineering organisation needs before it can put a paid tool in front of a team.
AI-native work management for regulated, safety-critical engineering. Loov carries the planning surfaces a delivery team expects, and adds the process, criticality, and traceability structure that audited programmes are actually assessed against.
In most tools, safety classification and traceability are bolted on as custom fields and then maintained by hand until an audit forces a cleanup. In Loov they are first class: criticality terminology adapts to the industry the tenant operates in, and traceability between requirement, work item, verification, and evidence is a property of the system rather than a spreadsheet exercise.
Loov runs AI agents across planning, triage, and reporting work, under guardrails that are enforced in the workflow engine and in cloud permissions rather than only in prompt text. Agents can never close a safety-critical item without a human sign off, and every agent run is fully audited.
Loov was built on the constraint that programme data never reaches a public model endpoint. Inference runs on self hosted open weight models inside the customer cloud boundary.
Tenant separation is enforced at storage key level, at cloud permission level, and again as a runtime assertion, including inside retrieval queries. One programme cannot see another, by construction.
The platform is fully serverless and deployed as parameterised cells, so a customer can be given a dedicated deployment without a dedicated cost floor.
A genuinely usable free tier for small teams, low per user pricing as a team grows, and a custom enterprise track for programmes that need dedicated deployment, private models, and contractual assurances.
Talgud runs a company of AI agents against a real codebase. You write a charter describing the organisation, its units, its seats, its reporting lines, and the decisions that require a human signature. Talgud staffs every seat, hands your goal to the chief executive, and the work travels down the same way it would in a company that employs people. The Estonian word means the day a village turns up together to finish one job.
Most agent frameworks give you a pipeline. Talgud gives you a company: a management unit that sets objectives and allocates budget, business units that own outcomes, programme and project managers who break work down, and engineers, QA, DevOps, HR, finance, and legal who do their jobs and escalate when they should.
Permissions are not advice in a prompt. Every action a seat attempts passes through the charter's policy before it touches the repository, the cloud, or the outside world. Shell commands are classified before they run, so a push or a deploy from inside a coding session is refused and handed back to the humans who approved it.
Message the chief executive in plain language. It turns the request into a programme or a project with acceptance criteria a QA engineer could test without asking what was meant, and delegates it down the reporting line.
Engineer seats take a coding session inside a clone of the repository on a task branch. Commands, file edits, and test output stream into the console as they happen, and the work arrives as a merge request for review.
QA verifies against the criteria, you authorise the deploy, and the live site refreshes in the console. Nothing reaches production on an agent's own authority.
The company is rendered as a live structure rather than a list of runs. Units are platforms, seats are the people on them, and reporting lines are drawn between them. Work in flight travels along those lines as it is delegated.
A setup flow asks for what the organisation needs before it can take over, in plain language, and puts every secret in the vault rather than a configuration file.
Building and operating our own platforms keeps the engineering side of LinkLabs honest. We carry the same obligations we advise clients on: uptime, cost control, data handling, upgrade paths, and support.
| Product | Problem it removes | Who it is for |
|---|---|---|
| PitLane | Defect triage on vehicle software where the evidence is a very large log capture and the cause spans several platform subsystems. | OEM and Tier-1 platform, integration, and validation teams working on Android based vehicle software. |
| Loov | Planning, traceability, and audit obligations spread across a work tracker, a requirements tool, and a set of spreadsheets. | Engineering organisations delivering under a functional safety or regulated development process. |
| Talgud | The coordination cost of a software organisation: writing the work down, delegating it, chasing it, reviewing it, and keeping a record of who decided what. | Founders and engineering leaders who want output from a small headcount, with approval gates they set themselves. |
We can run a walkthrough against a capture, a programme structure, or a repository you recognise, rather than a synthetic demo dataset. Deployment inside your own cloud boundary is available for all three products where data residency or procurement requires it.
