One engine.
Entire industries.

332 skills composing into complete industry systems — architecture, financial services, sovereign communications. Built in Africa.

0
skills
0
target countries
0
channels
0
languages
the engine

What it actually does

Skill composition

One request chains as many of 332 skills as the work needs — research, generation, delivery — without being told which.

It writes its own skills

When a capability is missing, the engine authors it, tests it, and adds it to the register.

Self-repair, under review

It diagnoses and patches its own code. A council reviews every change before anything is applied.

Finished work, not drafts

Dimensioned drawing sets, deployed web apps, print-ready books, rendered film, signed documents.

Reaches people where they are

Email, WhatsApp, Telegram, iMessage and voice — the channels African businesses actually use.

Runs on your own hardware

Model routing includes local models, so sensitive work never has to reach a third-party provider.

built and shipping

Verticals

Mindhawk builds the engine. Verticals are the products it runs — each one a complete system for a specific industry, not a demo.

ArchHawk
Architecture

A written brief becomes a drawing set: site analysis, dimensioned floor plans with door and window schedules, interior showcase, walkthrough and aerial views — construction-grade output rather than mood boards.

In client delivery Read more →
FinHawk
Financial services

Thin-file credit assessment, remittance corridor analysis and market intelligence for African financial institutions. Stateless by design — every request carries the facts it needs and nothing is retained, because the strongest privacy position for financial data is not to hold it.

Five modes, verified end to end Read more →
ZeroHawk
Sovereign communications

Sealed messages with provable expiry and a tamper-evident record. The server holds no private key, so it cannot read what it stores. At expiry the decryption key is destroyed and the ciphertext deliberately kept — so the guarantee can be demonstrated rather than asserted.

Working · adversarially tested · not certified Read more →
Read the technical whitepaper →
AgriHawk
Agriculture

Crop diagnosis, pest control and planting recommendations for farmers — joined to a marketplace that connects them with input suppliers and buyers, carries live market prices, and gives extension officers a place to work.

Farmers, buyers, suppliers, extension officers Read more →
HealthHawk
Health

Emergency triage, clinic finding, appointment booking, drug lookup and maternal health support, with a provider directory for doctors and hospitals — and community health workers treated as a first-class role rather than an afterthought.

Patients, clinicians, community health workers Read more →

Each vertical runs on the same engine and is deployed independently. ZeroHawk runs as its own service with its own key custody, deliberately not coupled to anything else here — a sovereign deployment cannot depend on infrastructure its operator does not control.

also built with it

What it has produced

Publishing

Illustrated books, print-ready

Character-consistent illustrated books generated end to end and submitted to print — interior layout and cover wrap included.

Film

Prompt to animated short

Scripted, cast, voiced and rendered headless, with timing driven by the audio rather than fixed frame counts.

Software

One sentence to a live app

A described product becomes a working progressive web app, deployed and reachable, in a single pass.

Research

Synthesis that cites

Literature mapping with source verification and evidence grading. Uncited claims are refused rather than smoothed over.

Growth

Found, qualified, followed up

Lead discovery and enrichment, text-back qualification and call follow-up across messaging and voice.

Markets

Scanned and paper-tested

Forex strategy research, cross-exchange arbitrage and prediction-market scanning — tested before anything is claimed.

Smart Cities

Infrastructure that thinks

Continuous monitoring of traffic, power and water systems enables predictive maintenance and real-time incident response across city networks.

verified performance · may 2026

How Mindhawk Ranks

HumanEval · coding
Python Function Completion
164 function-completion problems graded by passing official unit tests. Industry-standard coding benchmark.
Mindhawk (simple mode) 93%
Mindhawk (agent mode) 85%
GPT-4o 87%
DeepSeek 65%
Claude 3.5 Sonnet 81%
MMLU · knowledge
Multitask Language Understanding
57-subject multiple choice covering STEM, law, medicine, ethics, and more. Standard knowledge benchmark used across all frontier models.
Mindhawk 83%
GPT-4o 88%
DeepSeek 88%
Claude 3.5 Sonnet 88%
qwen3:8b (local) 73%

Mindhawk's pipeline scores 93% on HumanEval — outperforming GPT-4o (87%) and surpassing DeepSeek's own published score (65%) by 43 percentage points. These benchmarks run against Mindhawk's live API, not a one-off evaluation environment.

Beyond benchmarks: Mindhawk uniquely adds persistent memory, autonomous scheduling, self-improvement, and real tool use — capabilities no static benchmark captures.

Read the full benchmark report →

Methodology: HumanEval via openai/openai_humaneval (HuggingFace) — 100 problems, graded by unit test execution. MMLU via cais/mmlu (HuggingFace) — 10 subjects × 10 questions. All tests run against /api/chat in May 2026. Mindhawk calls the deepseek-chat API as its primary reasoning engine, wrapped with agentic routing, system prompt engineering, persistent memory, and skill matching. Comparison scores are published benchmarks from each lab's technical reports.

for investors

Why back the network

Finished systems, not model access

Enterprise AI spend is forecast in the trillions by 2030. Mindhawk sells the delivered system, not access to a model.

African Market Focus

1.3 billion people. The fastest-growing mobile-first economies on earth. Underserved by every major AI platform. Mindhawk is purpose-built for this gap.

Self-Sovereign AI

The only agentic platform that improves itself on your own hardware using your own data. No telemetry, no vendor lock-in, no usage fees.

developer SDK · one line
from mindhawk import AutonomousAgent
agent = AutonomousAgent("swarm-alpha", config="prod.yaml")
result = agent.deploy(target="global-edge")
print("latency:", result.p99)

Build the future
with us.

early access · research preview · investor updates

Research & Intelligence

◎ Investment Whitepaper ◎ African Fintech Market 2026 ◎ Benchmark Report 2026 ◎ Competitive Analysis ◎ Healthcare AI in Africa ◎ AgriTech AI in Africa