Launch a product
You have an idea or MVP and need a team to design, build, and ship something customers pay for.
Services
WHAT WE
BUILD.
Six production capabilities—AI applications, automation, custom software, agents, data intelligence, and SaaS. Scoped builds follow our four-week cadence; we confirm timeline after discovery.
When to hire us
FOUR REASONS
TEAMS CALL.
If one of these sounds like your situation, we should talk.
Automate operations
Manual work is eating margin. You need intelligent automation across the tools your team already uses.
Add AI to existing software
You have a product or internal system and need AI that works in production—not a chatbot demo.
Replace spreadsheets & chaos
Sales, finance, or ops run on fragmented tools. You need one system built around how you actually operate.
Capabilities
SIX SYSTEMS.
ONE MANDATE.
Same six capabilities as on the homepage—select one for deliverables, stack, and related work.
01 / 06New revenue
AI applications
We design and ship AI-native products: onboarding, core workflows, model-backed features, billing, and admin—mapped to how your users actually work.
Typical deliverables
- Product discovery & ROI map
- UX flows and AI feature design
- Production app (web or API-first)
- Model integration with evaluation & guardrails
- Deploy, monitoring, and handover docs
Stack & integrations
See MatchIncome case study - Next.js
- TypeScript
- Postgres
- OpenAI / Anthropic
- Vercel or your cloud
Not sure which capability fits? Tell us the problem—we'll map it.
AI & trust
WHAT CLIENTS
ASK FIRST.
Privacy, providers, security, NDAs, and run costs—addressed up front, not buried in the SOW.
Data privacy
Your data is used only to deliver the project. We do not train public models on your proprietary content unless you explicitly agree in writing. Workloads can run in your cloud or ours under contract.
Model providers
We select providers by use case—typically OpenAI, Anthropic, and Google (Gemini). You can bring your own API keys and data-processing terms. We document which models touch which data flows before build.
Security
TLS in transit, encrypted secrets, least-privilege access, dependency patching, and audit-friendly logging. We align with your security questionnaire or SOC-style requirements when needed.
NDAs & confidentiality
Mutual NDA before sensitive discovery is standard. Repos, credentials, and customer data stay scoped to the engagement team with handover at project end.
Ongoing AI costs
Token, embedding, and hosting costs are estimated in the proposal—with usage alerts, caps, and caching strategies so run costs stay predictable after launch.
How we engage
PICK THE PATH
THAT FITS.
Start small with discovery or go straight to build—we structure around your stage and budget.
Discovery sprint
Map the business problem, scope the solution, and leave with a plan, architecture sketch, and ballpark.
Best for: You need clarity before committing to a full build.
Fixed project
Design, build, and launch a defined product or system—milestones, weekly demos, and production handover within four weeks of kickoff.
Best for: MVPs, internal tools, and AI products with a clear scope.
Build & scale retainer
Continuous engineering as you grow—new features, AI improvements, performance, and automation.
Best for: Live products that need a long-term engineering partner.
What every engagement includes
- Product & technical discovery
- Architecture & AI workflow design
- Full-stack engineering & integrations
- Production deployment & handover
- Documentation & knowledge transfer
- Post-launch iteration support
FAQ
QUESTIONS
ANSWERED.
Who owns the code and IP?
You do. We build software you own and operate. Handover includes repos, docs, and deployment access.
How long does a typical project take?
From kickoff we aim to finish within 4 weeks: about 1 week discovery, 1 week design, 2 weeks build, with launch and handover in the final week. Scope affects exact dates—we confirm on the first call.
Do you work with teams outside Nigeria?
Yes. We are in Abuja (WAT, UTC+1) and work with clients globally—async updates, weekly demos in your timezone, and quotes in ₦ or USD. Production delivery follows the same cadence as local engagements.
What does a project usually cost?
Scope-dependent. Discovery starts lean; full builds are quoted after we understand the problem. The first scoping call is free and includes a ballpark.
Can you improve software we already have?
Yes. We add AI, automate workflows, refactor for scale, and extend existing products—not just greenfield builds.
How do you handle AI data privacy and model providers?
We map data flows before build, use major providers (OpenAI, Anthropic, Google) or your keys, and avoid training on your proprietary data without written consent. See the AI & trust section on this page for NDAs, security, and run-cost planning.
Next step
YOUR PROBLEM.
OUR BUILD.
CLEAR NEXT STEPS.
30 minutes. You walk away with a plan, timeline, and ballpark—even if we never work together.
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