Draft the Nordsjö rebrand proposal - reference last quarter's Volvo work, tighter tone, and hand to Lars for review.
On it. Pulling references from your vault, drafting against the Meridian tone guide, and queuing for Lars.
Nordsjö's market share in DIY dropped 12% in 2025, driven by aggressive own-brand competition.
Two-year platform rebuild that separates pro from DIY










Google Drive, SharePoint, HubSpot, Meta Ads, Monday, Notion, GitHub, Slack, Teams etc. Wildfire queries them all in a single run, does the work for you and gets smarter along the way.
Your new AI coworker drafts your proposals, handles your inboxes, and prepares your meetings. Never forgets, never context-switches, and gets sharper every week. Running on European infrastructure with EU AI Act compliance built into every decision.
Every conversation lands in one of three places. Employees control the boundary, stewards approve promotions, and nothing leaks upward by accident.
Ask for a draft, get a Google Doc in your Drive. Ask for a forecast, get a Sheet. No new interface to learn, no file to reformat.
Context. Nordsjö's market share in the DIY segment dropped 12% in 2025. The current brand treats pro and DIY audiences identically when the data shows they buy for different reasons.
Approach. A two-year brand platform rebuild that separates pro from DIY at the visual and messaging layersofie-agent
A team-wide agent lives in your channels. Status pulls, handoffs, weekly digests - the work that used to fall through the cracks.
Claude, GPT, Gemini, Mistral, Llama. Cloud or on your own GPU. Change provider in one setting, your agents keep working.
No credit card needed
Don't start with fancy models - start with the mess. Find the work that feels Stupid, runs Slow, lives in Silos, or smells like pure Status quo. That's where AI stops being a buzzword and starts printing you unfair advantage.
Copy-paste between tools, formatting decks, retyping the same status update, summarizing the same meeting for the third inbox. The work no one wants to own.
Research that eats a morning, briefs drafted from a blank page, reading 40-page reports for the one paragraph that matters, waiting on the one person who has context.
Context trapped in one person's head, knowledge buried in Slack threads, the proposal you wrote last year nobody can find. Information that never crosses the team.
The "this is just how we've always done it" work. Weekly digests, onboarding scripts, the monthly report nobody reads but everybody writes. Pure ritual.
The boring substrate is what makes the interesting part possible. Continuous context, prompt-built agents, and an open platform - three pillars working together so your team can focus on the work that only humans can do.
Every email, meeting, and document gets pulled in as it happens. Wildfire builds a continuous picture of your business that every agent can reach into.
Describe what you want done in plain language. Wildfire writes the workflow, wires up tools, and gives you something to sign off on before it ships.
Connect through our API and MCP server. Bring data in, push data out, pick your model. Every action sealed in an append-only ledger your auditor can read.
ChatGPT. Copilot. Zapier. Claude Code.
You're already using AI. You're also still doing the work.
Tells you how to audit your ad spend.
Audits it. Hands you the PDF.
No credit card needed
Compliance isn't a layer we added. It's the substrate every agent sits on. Sensitive data never touches an American cloud - enforced at the gateway, sealed in the ledger, verifiable on demand.
Every agent action signed into an exportable evidence trail for EU AI Act compliance.
European-hosted inference for Tier 3 data.
Tamper-evident audit retention, configurable per DPA.
Connect your tools, name your first agent, and it starts working.
The boring compliance substrate is what makes the interesting part possible: an AI workforce that lives entirely inside European jurisdiction, with audit logs your legal team will actually read.
Every request classified by data sensitivity. Routed to the right model, in the right jurisdiction. Hard-enforced at the gateway, not trusted to a policy document.
Hash-chained, append-only, tamper-evident. Daily root hashes published publicly. Export a quarter's Article 14 evidence with one command, in the official format.
No credit card needed
No credit card needed
No implementation fee. No per-seat tiers. No hidden AI token meter running against you at night. Fair usage included, local GPU priced separately when you need it.
No credit card needed
Every agent gets 20,000 credits a month. Credits track the model work actually done — not seats, not licences, not a meter that surprises you. Here is what real jobs cost.

@wildfire summarise yesterday’s #meridian thread and flag anything that needs me
Three items. Two are moving on their own: Volvo Q2 invoicing cleared, Bloom countersigned. One needs you — Nordsjö went quiet after the review. Reply drafted in HubSpot. Send it?

@wildfire the Nordsjö proposal still has Q4 numbers and the tone is off. Match it to the Meridian guide.
Done. Q1 market-share figures pulled from the vault, tone checked line by line against the guide. Two claims I could not source are flagged in the margin.
DNordsjö Rebrand 2026 · v4
@wildfire build us an approval desk — account leads submit discount requests, it pulls live deal data from HubSpot, partners approve in Slack
Live at deal-desk.meridian.dk. HubSpot connected, approvals post to #revenue, every decision signed into the ledger. 14 people invited.
| Deal | Amount | Status |
|---|---|---|
| Volvo Q2 | €48k | Pending |
| Nordsjö | €22k | Approved |
Credits follow real model usage. Caching brings them down. Nothing is hidden behind a tier.
Every credit reflects model work done — on Claude, GPT-5, Mistral, or the GPU in your own rack. No per-seat licence, no minimum commitment, no new platform tier appearing the month you grow.
Agents cache context and reuse what they already retrieved. The first Monday digest costs real credits. The fortieth costs a fraction of it.
Scheduled work runs on credits too, so hourly costs more than weekly. You set the schedule and you can see the meter — it is a line in the ledger, not a surprise on the invoice.
No credit card needed
ChatGPT is one model behind one interface. Wildfire is a workforce platform - every employee gets a named agent with private memory, agents collaborate in your channels, and you control the model and the jurisdiction at the gateway. Compliance is enforced, not promised.
Nothing changes for our customers. The platform was built against the Act from day one. Tier routing, the audit ledger, and your DPA already cover the high-risk obligations. We onboard you ahead of the deadline so you sign with weeks to spare.
Yes. Cloud (Anthropic, OpenAI, Mistral, Google) or on-prem (Llama 3.3 on your GPU). Mix and match by tier. Switch providers in a single setting - workflows keep running.
Tier 3 data: 100% in Europe, in our EU data centers, or on-prem if you prefer. Tier 1 and 2 default to EU regions of major providers, configurable per tenant.
A unit of model work. Reading a thread, drafting a section, calling an integration — each carries a cost that reflects what the model actually did. A quick summary runs 100–300 credits. A built-and-shipped internal tool runs 2,000–5,000. Every agent gets 20,000 a month, included in the €99.
Yes, into the following month. They also pool across the workspace, so a quiet month in finance quietly covers a loud one in sales.
We tell you before you hit the wall, not after. Top up on demand, or let agents queue non-urgent work into the next cycle. Nothing stops without you deciding it should.
Per active agent, billed monthly, from €99 per agent. No base fee. Full pricing - including on-prem and enterprise - is on the pricing page.
Some teams hit the edge of what an off-the-shelf agent can do inside a quarter. When that happens you don’t need a bigger licence — you need something built for you. Both of these run on a monthly subscription, not a consultancy invoice.
An internal approval desk. A connector to the payroll system nobody else supports. A dashboard your board will actually read. We scope it, build it, and keep it working — the same way we run the rest of your platform.
AI literacy is an Article 4 obligation, and most companies meet it with a slide deck nobody remembers. We run sessions on your actual work — your documents, your agents, your tier policy — and you leave with a training record your DPO can file.