Stop starting your AI chats
from scratch.
The first AI chat built for multi-session projects. Akir builds a persistent Knowledge Ledger that carries your verified facts, hypotheses, and project history across every new thread automatically.
No monthly subscription. Pay for what you think, not a monthly seat.
ChatGPT and Claude have complete amnesia.Akir doesn't.
Standard LLM interfaces force you into a cycle of context fatigue and repetitive prompting. Here is how Akir restructures your workflow.
01Re-explaining project context & file uploads
Tired of ChatGPT forgetting your context? Every time you open a new chat window to test a different angle, your AI starts blank. You waste your first ten prompts re-uploading project files and explaining where you left off.
Akir links your workspace together. Exploration happens in parallel threads, but every verified fact flows directly into your persistent Knowledge Ledger. Every new thread automatically loads this compiled context.
02Context degradation & long-thread hallucinations
Claude projects and custom instructions help slightly, but long threads accumulate noise. As the chat grows, the model suffers from context limit degradation, hallucinating corrections that overwrite your baseline rules.
Akir separates active thinking from verified truth. We organize your ledger using three clean confidence levels to keep findings honest: Established for verified facts, Hypothesis for strong leads, and Exploring for open questions.
03Buried in unorganized chat logs
Your best research insights and code snippets get buried in miles of scrolling chat history. It is impossible to search, categorize, or compile them into a clean deliverable without tedious copy-pasting.
When your thread is done, switch to Document Mode. The AI already knows your project's full history. Draft sections, edit passages, and export directly to Word/DOCX or share via a public link—no login required.
What you've verified
doesn't disappear.
When a thread produces something real, you commit it to the Knowledge Ledger — with a confidence level and the reasoning behind it. It stays. It travels into every future session. The AI works from it, not around it.
Three confidence levels keep your knowledge honest: Established for verified facts, Hypothesis for strong leads, and Exploring for open questions.
The longer you work on a project, the more your AI already knows about it.
Mid-market SaaS multiples have compressed to 4–6× ARR as of Q1 2025, verified across 3 comparable transactions.
Target's 118% NRR is defensible given product stickiness, but CAC payback needs validation before upgrading to Established.
Whether strategic buyer or financial buyer is the stronger exit path — two threads currently running.
Executive Summary
The Southeast Asian logistics sector presents a compelling entry opportunity. Our diligence confirms mid-market multiples of 4–6× ARR, consistent with established Ledger findings.
AI revision stream
Three comparable exits over the last 18 months support this range.
All three exits in the trailing 18-month window confirm this range — with the most recent at 5.8×.
CAC payback and NRR validation remain the key open questions before we escalate to IC.
This is what all that
thinking was for.
You've built the Ledger. Every finding committed, every hypothesis tagged, every open question tracked. Switch to Document mode — the AI already knows all of it. You don't brief it. You direct it.
Draft a section, select any passage for an AI rewrite, or tell it what to do next. When you're done, export to DOCX or share a clean public link — no account required to read it.
- ✓AI arrives already knowing your full project
- ✓Select any text to rewrite or shorten
- ✓Export to DOCX or Google Doc
- ✓Share via public link — no login required
Built for people who think across sessions.
Akir is for anyone whose work depends on building persistent context — not just getting one-off answers.
Investment & Diligence
IC analysts · VCs · Private equity
“You're building a sector thesis across multiple targets.”
Each research session commits what you've verified — multiples, comparable exits, market dynamics. By IC day, your ledger holds the entire diligence trail. No re-explaining. No lost reasoning.
Strategy & Decisions
Consultants · Strategists · Founders
“You're evaluating three strategic directions simultaneously.”
Run each option in its own thread. Compare side-by-side. Commit the path that holds — with the reasoning that got you there. Build on it next week without rebuilding context.
Research & Writing
Researchers · Writers · Analysts
“You're working through a body of ideas that keeps growing.”
Each session adds to what you know. Frameworks get committed. Key findings accumulate. When you're ready, switch to Document mode — your AI already understands the full body of work.
ChatGPT is built for conversations.
Akir is built for projects.
General AI chat
- ✕Every session starts from scratch
- ✕Answers what you asked — not what you should be asking
- ✕Ask two ways, get two answers
- ✕Your best thinking disappears when the chat closes
- ✕One conversation at a time
Akir
- ✓Sessions start with your full project knowledge
- ✓Works from what you've verified, not just what you typed
- ✓Committed knowledge anchors every answer
- ✓Your Knowledge Ledger persists indefinitely
- ✓Threads, documents, and findings — all in context
Addressing the skeptics.
You are building real projects, not just running one-off queries. Here is how Akir stacks up against standard setups.
Why do standard chats like ChatGPT and Claude lose their memory over time?▼
How does Akir solve the context window degradation problem?▼
Can I export my research threads directly to Word/DOCX or Google Docs?▼
Is this just another generic wrapper?▼
Why non-expiring token packs instead of a monthly subscription?▼
Your knowledge compounds over time.
Create a project
Start a project workspace for your topic. Upload research papers, guideline documents, datasets, or notes. Akir reads and maps everything immediately.
Think in threads
Test hypotheses, run parallel queries, and analyze data in separate threads. Your context stays isolated, so model hallucinations don't contaminate your core project.
Commit what holds up
When a thread uncovers a verified fact or key insight, commit it to the Knowledge Ledger. Tag it as Established, Hypothesis, or Exploring.
Every session starts smarter
Your Ledger, your documents, your discoveries — all of it travels into every new session. The AI already knows what you've confirmed, what you're testing, and what's still open.
Write with full context
Switch to Document mode when you're ready to write. The AI knows every committed finding and verified fact. Draft sections, rewrite any passage, then export to DOCX or share via a public link.
Simple plans. No surprises.
No subscriptions. Buy token credits when you need them, or bring your own API keys.
Starter pack
2.5M tokens · no expiry
- ✓All reasoning models included
- ✓Gemini Flash, o4-mini, Mistral
- ✓Unlimited projects
- ✓Knowledge Ledger + threading
Value pack
5M tokens · 25% more per euro · no expiry
- ✓Everything in Starter pack
- ✓25% cheaper per token
- ✓Best for regular use
- ✓Stack multiple packs
Bring your own keys
Platform fee only · you pay provider directly
Stop losing your best thinking inside chats.
Every good thought should compound. Akir makes sure it does.