Introduction
Blackpaper is an operating record layer for African businesses. It is designed for teams that deal with sensitive information, repeated document workflows, and decisions that need to stay clear, defensible, and easy to review.
Instead of treating documents as dead files, Blackpaper helps teams work with them as live operational assets: easier to structure, easier to act on, and easier to keep aligned as the underlying information changes.
Getting started
Most teams start by bringing in the records they already rely on: documents, spreadsheets, diligence packs, internal notes, customer materials, and operating evidence. From there, Blackpaper helps make that information easier to search, review, and reuse.
Once the information is in one place, teams can use Blackpaper to guide review work, generate live outputs, coordinate execution, and reduce the amount of manual copying between tools.
How Blackpaper works
Step 01
Bring scattered work into one place
Collect documents, spreadsheets, memos, records, and operating context into a shared workspace instead of chasing them across inboxes and folders.
Step 02
Turn raw inputs into working knowledge
Blackpaper helps teams organize evidence, structure information, and guide work with AI in a way that stays understandable to the people using it.
Step 03
Ship outputs people can trust
Create live documents, reviews, summaries, and operating deliverables that stay current, review-ready, and easier to defend internally or externally.
Agents
Blackpaper agents help teams move faster on repeated work without turning the process into a black box. They are meant to support operational teams with drafting, review, organization, and structured follow-through.
In practice, that means less time spent rewriting the same memos, chasing the same missing inputs, or redoing the same review steps every time a case, file, or customer record comes back around.
Live documents
Blackpaper’s live documents are built for work that changes over time. Instead of generating a one-off file that drifts out of date, teams can keep important outputs connected to the underlying evidence and operating context behind them.
That is especially useful for institutions producing reports, reviews, memos, client-facing materials, or internal decision documents that need to stay current as new information arrives.
Shared vault
The vault is where teams organize the records that matter. It is designed to give operators, reviewers, and decision-makers a shared foundation for working with the same information instead of each person maintaining their own fragmented copy.
That makes it easier to reduce duplication, preserve context, and keep business knowledge attached to the work it is meant to support.
Desktop apps
Blackpaper’s desktop apps are planned for teams that want a more focused working environment than a browser tab. They are not publicly downloadable yet, and this section is intentionally clear about that.
macOS
Apple Silicon and Intel
A desktop workspace for teams that want document review, AI workflows, and handoffs in a native app.
Windows
Built for operational teams
A secure desktop experience for teams running storefront, hiring, lending, legal, finance, and risk workflows.
Linux
For technical operators
A coming-soon desktop distribution for engineering-heavy teams and infrastructure-conscious deployments.
Storefront Operations
Launch an AI-built storefront, manage M-Pesa and card payments, answer customers with an AI agent, track analytics, schedule delivery, and turn daily commerce into lender-ready operating records.
THE BLACKPAPER PROMISE
Sell anything. Pay nothing until you start winning.
Start free: pay only 2,000 KES monthly after your store crosses 40,000 KES in monthly sales revenue.
01AI-Built Storefront That Feels Like You
The AI reads your brand, catalogue, and voice, then builds a storefront that matches how your business already speaks. Whether it's kitenge from Gikomba or coffee from Karen, you get a preview domain or bring your own.
- ✦AI builds the layout from your products
- ✦Edit in English or Kiswahili, no code
- ✦Free preview subdomain (dukalako.blackpaper.app)
- ✦Bring your own domain, SSL included
02One Operating Screen for Everything
Catalogue, categories, team invites, stock, orders, and delivery schedules, all in one dashboard built for East African operators. No more switching between spreadsheets, WhatsApp, and payment apps.
- ✦Bulk import + AI written product details
- ✦Invite your team with clear roles
- ✦Order pipeline and delivery calendar
- ✦Sync with Google Calendar & iCal
03Accept Money How Customers Already Pay
Native M-Pesa, Paystack, and global cards. Reconciliation, refunds, and receipts are handled automatically, so you can focus on delivery and growth.
M-Pesa STK Push
Customers approve in seconds
Paybill & Till
Auto-reconciliation
Card Payments
Visa, Mastercard, Amex
Paystack/Flutterwave
African card processing
04AI Agent That Never Sleeps
A customer service agent trained on your catalogue, policies, and brand voice. It responds on your store, WhatsApp, and Instagram in English, Kiswahili, or Sheng, and hands off when a human should step in.
Real Business Impact
0%
Setup fee
Start selling immediately
40,000 KES
Monthly threshold
Pay only when you're winning
2,000 KES
After threshold
Just 5% of revenue
Built for African Business Reality
Perfect For:
- →Storefront owners
- →Storefront managers
- →Operations leads
- →Bookkeepers
- →Growth teams
Solves Real Problems:
- ✓Products, orders, payments, customers, and delivery notes are spread across chats, spreadsheets, and payment statements
- ✓Customers expect M-Pesa, WhatsApp, Instagram, and fast delivery while lean teams handle everything manually
- ✓Owners need clean sales and operating records for lenders, investors, tax tasks, and monthly performance reviews
What You Can Actually Do
Saili Interview Intelligence
Saili is an AI-native interview platform for teams that need to understand people, not just collect answers. It replaces static forms and flat screening workflows with adaptive conversations, structured evidence, and decision-ready intelligence.
Product promise
Ask better questions, capture richer evidence, and make decisions that can be explained.
Saili is built for hiring, HR screening, admissions, internal evaluation, and any review workflow where a human answer needs follow-up, context, and evidence.
Step 01
Interview
Saili runs one-question-at-a-time chat or voice sessions that branch from the respondent's actual answers.
Step 02
Extract
Answers are converted into claims, quotes, contradictions, confidence signals, and source-linked evidence.
Step 03
Decide
Evaluator agents synthesize tradeoffs, dissent, rankings, and recommendations for the review team.
Adaptive interview engine
Saili maintains conversation state while it interviews. It can probe unclear answers, ask for examples, adapt to seniority, and avoid repeating what the respondent already explained.
- →AI-drafted interview flows from role, goal, agenda, and evaluation criteria
- →Live follow-up questions based on ambiguity, confidence, depth, and contradiction
- →Chat, voice, long text, files, links, work samples, screenshots, and portfolios
- →Multilingual interview flows across English, Kiswahili, and role-specific language
Decision intelligence layer
Saili does not stop at transcripts. It produces structured outputs review teams can inspect, challenge, compare, and defend.
- ✓Evidence-linked claims with source quotes and confidence scores
- ✓Specialized evaluators for technical depth, communication, execution, leadership, creativity, and risk
- ✓Runner-up analysis, dissenting perspectives, and transparent recommendations
- ✓Candidate summaries that stay connected to the interview record and attached materials
Where teams use Saili
Hiring
Adaptive screens, technical probes, behavioral interviews, and panel-ready candidate briefs.
HR screening
Structured early-stage screens with consistent follow-up and review-ready evidence.
Admissions
Structured applicant interviews with evidence trails and committee review outputs.
Internal mobility
Role-fit interviews for promotions, transfers, and leadership pipelines.
Reference checks
Consistent reference conversations with claims, quotes, and confidence signals.
Evaluation panels
Committee-ready summaries with tradeoffs, dissent, and source-linked recommendations.
What you can actually do
Built for reviewable decisions
Saili is designed for workflows where fairness, auditability, and human oversight matter. Every inference should be inspectable, every score should be explainable, and every recommendation should lead back to the evidence that produced it.
SME Lending Workflows
Run AI-assisted loan applications, underwriting, internal scoring, statement analysis, borrower profiles, and repayment monitoring using verified business activity from mobile money and payment rails.
Target users
- Loan officers
- Credit analysts
- Underwriters
- Collections teams
- MSME portfolio teams
Key challenges
- SMEs often apply with thin files, scattered statements, and self-reported turnover
- Loan officers spend days checking M-Pesa, bank, Paystack, Paybill, and invoice evidence manually
- Internal scorecards are hard to defend when borrower evidence is fragmented
- Collections teams see repayment stress late because payment behavior is not monitored continuously
Outcomes
- Turn applications, statements, mobile money activity, and storefront records into lender-ready borrower files
- Generate underwriter briefs, score explanations, and proof packs linked to source evidence
- Use verified sales, settlement, repayment, and cashflow signals to support faster credit decisions
- Monitor repayment behavior and early-warning signals after approval
Legal & Due Diligence
Draft live legal documents, organize diligence materials, and run legal agents that analyze clauses, obligations, evidence, risks, and source records through Blackpaper Composer.
Target users
- Law firms
- In-house counsel
- Due diligence teams
- Compliance lawyers
- Transaction teams
Key challenges
- Drafts, clauses, exhibits, diligence packs, and review notes drift across disconnected files
- Legal teams spend too much time rebuilding context before drafting, reviewing, or negotiating
- Obligations, risks, and factual claims are hard to trace back to source material
- Agents can help, but legal work still needs reviewable reasoning and human control
Outcomes
- Draft live legal documents from source materials, precedent, clauses, and matter context
- Run diligence review with issue lists, obligation tables, risk summaries, and source links
- Use agents to analyze contracts, filings, evidence, and transaction records without losing traceability
- Keep legal outputs tied to Composer, approvals, revisions, and review notes
Finance & Risk Operations
Bring finance, audit, treasury, insurance, and internal operations into one evidence-backed workflow layer for reconciliations, reporting, risk review, and operational decisions.
Target users
- Finance teams
- Controllers
- Treasury teams
- Audit and assurance teams
- Insurance and risk teams
- Operations leaders
Key challenges
- Financial records, settlements, invoices, statements, claims, and reports sit across too many tools
- Teams spend too much time reconciling numbers before they can make decisions
- Audit, risk, treasury, and insurance reviews require evidence that is hard to assemble quickly
- Leaders need clearer visibility into cash movement, exceptions, obligations, and operating performance
Outcomes
- Unify financial evidence from statements, payment rails, spreadsheets, invoices, policies, and internal systems
- Produce review-ready reports, reconciliations, exception lists, and operational summaries
- Surface risks, anomalies, missing evidence, delayed settlements, and control gaps earlier
- Keep every number, claim, and recommendation connected to source records
