6 LIVE SYSTEMS · 3 FOUNDER-LED · ENGAGEMENTS FROM 2 WEEKS
We don't pitch services. We solve problems — then build the system that keeps solving them after we're gone.
Before you read what we build, understand how we build it. The model is the differentiator.
We spend the first week understanding your domain before writing a line of code. You get a domain map, a data flow diagram, a risk register, and a decision log. If we find something that changes the scope or the cost, we tell you before the build starts — not during it.
Scope locked at sprint start. Senior engineers on every meaningful piece of work. Working software delivered at the end of every sprint — not a progress update, not a Figma file. Technical debt goes in the backlog with a remediation plan. It is never hidden.
Before close, the system goes through a hardening phase: load testing, error observability, runbook documentation, and structured knowledge transfer. We stay on call for the first two weeks post-launch. After that, your team owns a system they can actually operate.
You have an idea, a problem, or a half-built system that needs rescuing. We take it from discovery to deployment — product thinking, system architecture, frontend, backend, integrations, and a clean handoff your team can operate. No disappearing after launch.
This is not a time-and-materials arrangement where you manage the engineers. We own the outcome. Senior engineers from the first sprint to the last deploy.
— Prameela Keshavan · AAAP Business · UAE
Discovery and system architectureDomain mapping, data model, service boundaries, integration points, and risk surface — before a line of code. Every decision documented.
Frontend and backend engineeringReact, Next.js, FastAPI, PostgreSQL, Docker. Production-grade from sprint one — not retrofitted before launch.
AI integration by designNot bolted on. LLM features, agents, and automation designed into the architecture from day one.
CI/CD, deployment, and handoffShipped, monitored, documented, and handed over with runbooks. Your team gets a system they can operate.
Post-launch accountabilityTwo-week post-launch support window included. We don't consider an engagement closed until the system is stable in production.
AgentOps is how we design, deploy, and operate AI agents across your toolchain — from engineering delivery to sales operations and internal reporting. Every implementation includes human approval paths, security boundaries, and visibility your leadership can trust.
This is not another chatbot. It is workflow-connected agents with governance.
Requirement capture, planning, implementation support, PR review assistance, QA scenarios, delivery tracking, and manager summaries — wired to GitHub, GitLab, Slack, and your tracker of choice.
Feedback synthesis, PRD drafts, roadmap alignment checks, release notes, and analytics summaries — grounded in your docs and tooling.
Lead research, call briefs, pipeline hygiene, ticket classification, SLA risk signals, and structured handoffs to engineering.
Cross-system reporting, executive summaries, blocker follow-ups, and operational dashboards — without another manual copy-paste cycle.
We run AgentOps internally through 7Unit COO before we recommend patterns to clients.
Every specialisation below is built on the same foundation — senior-led, architecture-first, documented. The difference is the domain expertise and the specific problem each one solves.
Custom AI agents wired to the tools you already use — engineering, product, sales, support, and operations — with approvals, audit logs, and observability treated as first-class requirements. This is the coordination layer between Slack, GitHub, Jira, Notion, CRMs, and internal systems.
We run this internally through 7Unit COO before we recommend operating patterns to clients. We know where agent systems fail under real org complexity.
Complete business systems that run through WhatsApp — not a bot, not a basic auto-reply. Full CRM pipelines, AI-powered lead qualification, booking flows, field dispatch, and sales pipeline management. WhatsApp as a product surface with serious engineering underneath.
Your customers are already on WhatsApp. Every time you ask them to switch to a portal or an app, you lose them. We build the system that meets them where they already are.
We step in as your technical co-founder or fractional CTO — owning architecture governance, vendor evaluation, team structure, investor due diligence prep, and delivery accountability. Available as equity engagements for early-stage or retainer for established companies. This is not consulting. We own decisions and are accountable for outcomes.
You have chosen an AI platform — or you are evaluating one. We implement, customise, and integrate it into your specific workflows, team structure, and existing systems. Knowledge bases trained on your actual data. Approval chains mapped to how your team operates. Staff trained and live — typically within 45 days of kickoff. We know the internals, not just the documentation.
Contracts, compliance filings, procurement documents, field job sheets — operational paperwork that currently requires people to read and route it. We build classification, extraction, and workflow systems that handle it automatically. Human review triggered only when the model flags an exception.
What we actually build with. Not aspirational. These are the tools in production across our client systems.
AI has changed what's buildable, how fast, and at what cost. We use it ourselves — every sprint. But it has also created a new failure mode: systems that look finished and break under real conditions. This section is honest about when we add value and when we genuinely don't.
Fintech prospects always ask these questions. We answer them here so you can evaluate before the first call.
Row-level security enforced at the PostgreSQL layer with tenant_id on every table. RBAC validated at API middleware before any data access. Zero shared connection pools. Separate encryption keys per tenant. Cross-tenant access is architecturally impossible — not just restricted by policy.
Append-only event log on all state-changing operations. Every record: actor ID, action type, entity affected, before and after state, timestamp, tenant_id, and request correlation ID. Non-deletable by design. Queryable per tenant for compliance reporting.
Roles and permissions enforced at both database and API layers. Middleware validates permission scope before any resolver executes. Tenant administrators configure hierarchies within their own boundary only — cross-tenant role access is architecturally impossible.
We have built for EU fintech clients under PSD2-adjacent requirements. We build the technical implementation to compliance requirements defined by your regulatory counsel. We do not hold PCI-DSS or RBI certifications — we are transparent about this and recommend specialists for payment card processing.