1 · Developer Experience
Agentic IDEs, CLIs — Buy
/ Thinkia · Pulse /
Software with AI. Enterprise rigor.
Pulse runs AI-SDLC end to end—from structured intent to auditable deploy. For teams already generating code with AI who need to know what merges to production.
AI code is everywhere. Governance is not.
More teams ship with AI assistants. The gap is not speed—it is defensibility before merge: lineage, sign-off, and compliance your CTO can stand behind.
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No model lineage
Nobody can say which LLM generated a module, with which prompt, or what changed between iterations.
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Unsigned decisions
Code reaches production without a signed spec or a named owner for the risk the organization accepted.
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Compliance after the fact
EU AI Act and internal policy checks run late—or not at all—because tooling was built for velocity, not audit.
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Coverage without comprehension
Tests pass, but reviewers cannot prove they understood what they approved before merge.
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Shadow AI in the IDE
Cursor, Copilot, v0, and similar tools run outside the corporate gateway: no DLP, no metering, no unified audit trail.
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Speed vs. traceability
Leadership is pushed to choose between shipping fast and defending what shipped—when both should be non-negotiable.
Platform
A platform you can govern.
Pulse combines six capabilities in one product: structured intent capture, signable Golden Specs, agent execution in isolated sandboxes with a corporate LLM Gateway, human review with comprehension metrics, AI-augmented delivery with predictive risk analysis, and granular AI-BOM traceability.
Every feature you ship carries full lineage: what was specified, who signed, which model generated each story, which tests covered which scenarios, which dashboards were published, and which Production Context feeds the next iteration.
Architecture
Seven layers. One decision each.
You do not deploy everything on day one. Pulse supports adoption in stages—we start with the layers that move the needle most in your context.
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2 · Spec & Context
Specs, Production Context Store — Build with Pulse
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3 · Agentic Orchestration
MCP servers, Skill Registry — Pulse + extend
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4 · Execution & Sandbox
Isolated containers — Configure with Pulse
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5 · AI Model & Gateway
LLM Gateway: DLP, routing, audit — Pulse integrates yours or Thinkia’s
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6 · DevSecOps & Delivery
CI/CD + spec gates + AI-augmented deploy — Extend what you have
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7 · Foundation Infra
Cloud, GPU, Vector DB — You already have it
Not a big-bang rollout. Pulse meets you where your stack is and grows governance with your teams.
Differentiators
What only Pulse brings
Concrete capabilities—not positioning slogans.
Golden Spec as a signable contract
Three files per feature—what, how, UI—with five mandatory signatures before code is generated. No generation without a contract.
Granular AI-BOM per story
Every unit of code has its bill of materials: model, tokens, prompts, manual edits, coverage. Audit trail starts built in.
Health Reports at three moments
Distributed detection of contradictions, unvalidated assumptions, and poorly scoped work. Issues surface in F2—where fixing them costs a fraction of later rework.
Coverage Guarantees
Five critical transitions validated—from RFP to story. Nothing drops without someone signing that it was dropped on purpose.
Corporate LLM Gateway
DLP, routing by automation zone, audit trail, metering, multi-provider. Every model call goes through here. Non-negotiable in regulated environments.
MCP-compatible
Pulse does not lock your team in. If you move to Claude Code, Cursor, or your own orchestrator tomorrow, the methodology travels with you. Skills stay standard.
Methodology
Six phases. One chain.
A cross-cutting architecture track—Constitution, Application Architecture, Patterns—evolves in parallel and feeds every generation.
Input Bundle
Path A (RFP) or Path B (Discovery). Pulse distills the context.
Problem Framing
Capability briefs, evidence-backed discovery, time-boxed spikes.
Golden Spec
`.spec.md` + `.design.md` + `.ui-spec.md`. Five mandatory signatures.
AI Generation
Agents in an isolated sandbox. Traceability per story.
Review & Comprehension
Comprehension metric as a gate. No understanding, no merge.
AI-augmented Delivery
Deploy-as-Spec, Change Impact, intelligent rollout with auto-rollback.
Outcomes
Six levers for enterprise delivery
How Pulse improves software work in large organisations—from signed intent and governed AI to releases you can explain under audit.
Aligned
Intent before code
Golden Specs replace vague tickets—product, engineering, and compliance agree on what “done” means before agents generate a line.
Governed
Corporate AI only
Generation runs through your LLM Gateway and sandboxes—traceable tokens, DLP, and policy instead of shadow prompts on personal keys.
Traceable
Every merge explained
AI-BOM ties each story to models, tests, and sign-offs—what merged is reconstructable for review, ops, and regulators.
Faster
Less rework in the SDLC
Comprehension gates and structured handoffs cut bounce between discovery, build, and QA—the pipeline moves when intent stays clear.
Safer
Risk scored before prod
Change Impact and Deploy-as-Spec surface blast radius early—intelligent rollout and rollback with context, not firefighting after users report it.
Compliant
Evidence with the release
EU AI Act artefacts and Production Context ship in the same train as the build—audit readiness without a separate documentation sprint.
Industries
Where it lands best
Concrete scenarios—not generic “digital transformation”.
BFSI
Core refactoring with MiCA/DORA compliance built in. Regulatory traceability per release without extra manual effort.
Healthcare & Pharma
Clinical platforms with high-risk AI Act audit paths. Synthetic data in generation environments. Legal/DPO signature as a gate.
Retail & eCommerce
Digital team velocity without losing PCI-DSS governance. Pulse keeps feature delivery pace with automatic audit trail.
Public sector
ENS, ENI, and CCN-STIC compliance in the flow. Tenders require traceability—Pulse produces it without the team writing it by hand.
Manufacturing & Energy
Industrial systems with SIL, IEC 62443, and ISA/IEC 62443. Code generation where it applies; human authorship where it must.
Questions
What is Thinkia Pulse?
Pulse is Thinkia’s AI-native platform for governed corporate software generation. It implements the AI-SDLC methodology end to end: Golden Specs, sandboxed agent generation, comprehension gates, AI-augmented delivery, and granular AI-BOM traceability.
Do we need to replace our IDE or CI/CD?
No. Pulse layers governance on your stack: buy or keep your developer experience and foundation infra, build spec and context with Pulse, extend DevSecOps with spec gates. MCP compatibility keeps orchestration portable.
How does Pulse relate to Enterprise AI-SDLC?
Enterprise AI-SDLC is the methodology; Pulse is the platform that operationalizes it. The playbook and programme structure live on the Enterprise AI-SDLC page; Pulse is where teams run the flow day to day.
How is Pulse different from Copilot, Cursor, or v0?
Those tools optimize individual speed. Pulse optimizes organizational defensibility: signable specs before generation, corporate LLM Gateway, audit trail per story, and delivery gates tied to comprehension and compliance—not just tokens shipped.
How long until we see value?
The MVP stage targets Golden Specs from week one with one pilot team. Governed multi-team rollout typically follows in months 1–3; organization-wide delivery patterns in months 3–9, validated by metrics at each stage.
Get started
Start with a conversation
45 minutes with our AI Engineering Office—context, compliance, and where to start.
Or read the AI-SDLC playbook.