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beksson

Private beta — tested by real customer teams

One place for everything your team and AI need to get technical work done.

Beksson connects business requirements, customer issues, technical decisions, documentation, code context, work items, and implementation results in one continuously evolving project memory. Your team spends less time searching for information and repeating explanations. AI tools receive the context they need to produce more accurate, relevant, and reliable results.

Join the waitlist See how Beksson works

The problem

The knowledge already exists. It is just scattered.

Your company already has what it needs to resolve issues and build better software — spread across tickets, documentation, repositories, conversations, and people’s memories.

  • Support tickets
  • Documentation
  • Code repositories
  • Work items
  • Incidents & monitoring
  • Conversations
  • People’s memories

Each one holds part of the answer. None of them holds the whole picture at the moment someone actually needs it.

  • The same context is explained again for every handoff, ticket, and decision.
  • Decisions and hard-won detail are lost, so questions get answered twice.
  • AI tools start from zero, and produce only as much as someone pasted in.

Beksson brings that knowledge together and connects it to every request, decision, and task — one shared context behind support, planning, engineering, operations, reporting, and AI tools.

How it works

From request to resolution in four connected stages

Every stage draws on the same project memory — and adds back to it. Your team stays in control of what happens next.

  1. 1

    Capture

    Customers, stakeholders & your team

    An issue, feature request, operational task, or business requirement is submitted in one place, instead of being scattered across separate systems.

  2. 2

    Structure

    Beksson

    Beksson connects the relevant context — requirements, past decisions, documentation, code, and previous issues — and prepares work items, acceptance criteria, risks, dependencies, and open questions.

  3. 3

    Execute

    Engineers, operators & AI coding tools

    Approved work reaches the right engineer, operator, or AI coding tool with its full context attached, so nobody starts from a blank page.

  4. 4

    Close the loop

    Your team

    The result is reviewed, project memory is updated, and the customer response, status report, or next action is prepared.

Capabilities

One project memory, connected to everything your team does

The shared knowledge layer beneath support, planning, engineering execution, operations, and AI-assisted work.

  • Continuously evolving project memory

    Business requirements, technical decisions, documentation, code context, previous incidents, and implementation results — connected to each other and kept current as work happens.

  • One place for incoming work

    Support questions, bugs, feature requests, operational issues, and technical tasks arrive through one front door — from customers and your own team alike.

  • Execution-ready work items

    Requests become work items with acceptance criteria, risks, dependencies, and open questions — grounded in what the project already knows.

  • Context-complete handoffs

    Engineers, operators, and AI coding tools receive the business, technical, and historical context behind a task, not just its title.

  • Support answers with real context

    Connect a customer question to the relevant product context and previous issues, prepare the response, and escalate into engineering work when needed.

  • Status without chasing

    Current status, blockers, completed work, decisions required, and recommended next actions — ready for customers and stakeholders.

Use cases

Built for the way technical teams actually work

For teams that build, support, and operate software — wherever product, engineering, support, and operations overlap and knowledge is fragmented.

  • Support that becomes engineering work

    Turn a customer conversation into an investigated, prioritized work item without retyping the context.

  • Feature-request intake and planning

    Collect requests from customers and stakeholders, and turn them into scoped, sequenced work.

  • Issue investigation and handoff

    Capture the report, connect it to prior incidents and code context, and hand a prepared task to an engineer or AI coding tool.

  • Customized customer deployments

    Keep customer-specific configuration, versions, and known issues straight across separate environments.

  • People and AI tools, coordinated

    Prepare, delegate, and review work across engineers and AI coding tools from one backlog and one shared context.

  • Project knowledge that compounds

    Requirements, architecture, and decisions captured as they happen, so the next person — or tool — starts informed.

  • Greenfield products, structured from day one

    Start new software with execution-ready workflows instead of retrofitting process later.

  • Technical and operational reporting

    Produce status reports for customers and stakeholders from real work, not recollection.

AI-assisted, not AI-first

AI does the legwork. Your team keeps control.

Beksson uses AI where it improves the work: clarifying requests, connecting relevant context, preparing execution-ready tasks, assisting implementation, and summarizing outcomes. Your team remains in control of important decisions and actions.

  • Proposed, then approved

    Beksson prepares actions and waits. Significant changes take effect after someone on your team approves them.

  • Reviewable by design

    Prepared analysis, work items, and responses are presented for review — with the context needed to judge them quickly.

  • Traceable decisions

    Who requested, approved, and changed what stays recorded, and responses go out under your team’s name.

  • Better inputs, better output

    Complete business, technical, and historical context makes both people and AI tools measurably more effective.

Early beta result

Early beta usage has shown up to a 40× reduction in operational coordination overhead.

An early result from private-beta teams — we are validating it across more customers before treating it as typical.

Integrations

Designed around your existing stack

Beksson is designed to work with the tools around your team. During private beta, integrations are enabled selectively based on each customer’s workflow, and their availability and depth may vary.

  • GitHub

    Repositories, issues, and pull requests.

  • Azure DevOps

    Boards, repos, and pipelines.

  • AI coding tools

    Context-complete handoffs for coding tools like Codex.

  • Monitoring platforms

    Operational signals connected to ongoing work.

  • Documentation & knowledge

    Existing knowledge, connected and kept current.

We enable integrations together with each team during onboarding.

Private beta

A working product, tested by real customer teams

Beksson is in private beta and running real operational workflows for several customers today. We onboard new teams from the waitlist in small cohorts.

  • Hands-on onboarding

    We set up your projects, integrations, and workflows together with you.

  • A direct line to the team

    Beta teams work directly with the people building Beksson.

  • Shape the roadmap

    Your operational problems drive what gets built next.

  • No public pricing yet

    Pricing is agreed individually with each team during the beta phase.

Get access

Join the waitlist

Tell us a little about your team and where knowledge and coordination break down today. We onboard new beta teams in small cohorts.

What happens next

  • We review new signups as beta capacity opens up.
  • You get an email when it is your team’s turn — nothing else.
  • Onboarding is hands-on, together with our team.

Optional, but it helps us prioritize the right teams.

We only email about your access — no newsletters, no spam.