Eco-Logik Ventures builds and incubates AI ventures, currently MyTapDom and xCargoNet. Our consultancy applies the same operating discipline to your AI initiatives, from compliance-aware architecture to multi-agent production systems.
Capital allocator's mindset, applied to AI. The studio builds ventures we own. The consultancy sells the same operating playbook back into yours.
Equity, not retainer.
Eco-Logik builds AI ventures we hold long-term. Each one earns capital from a peer venture or from consultancy cashflow, not from outside dilution. Selection is brutal: a real operating problem, a wedge that compounds, and an owner willing to run it for years.
Seven offers. Two channels.
We sell the same operating discipline as engagements. Productized subscriptions through agency.elogik.ai for owner-operators. Direct-channel bespoke work for mid-market and enterprise, scoped honestly with public price bands.
No "contact us for pricing." Bands, ranges, timelines. If the scope shifts, the price shifts with it, and we say so on the page before you ask.
A two-to-three-week diagnostic on a stuck or unstarted AI initiative. Architecture review, risk register, prioritized roadmap.
One scoped agent or workflow, shipped to your environment with a runbook and 30 days of post-launch support. Production-ready, not a demo.
Inbound voice and messaging agents for owner-operators and mid-market. Answer, qualify, book. Productized through agency.elogik.ai.
PHI, PII, SOC 2, PIPEDA, HIPAA aware. Audit-ready AI posture review, control gaps, remediation plan that maps to your existing framework.
Five principles. We will turn down work that contradicts them. Most of the engagements we have decided to pass on, we passed for one of these reasons.
No raised capital, no runway pressure, no incentive to pad scope. Each engagement pays for itself or it does not happen. That keeps the math honest, the deliverables tight, and our incentive aligned with yours.
Healthcare, financial services, insurance, public sector, energy. The constraints are real, the cost of error is documented, and the buyer is sophisticated. That is where applied AI earns its keep, and it is where most generalist AI shops cannot operate.
We design for PIPEDA, GDPR, HIPAA, and SOC 2 boundaries from line one. Data classification, retention, audit trails, and incident response are scoped before the first prompt is written. Bolting compliance on later is the most expensive way to fail.
A single LLM call is a tactical convenience. A system with defined roles, tool surfaces, and handoff protocols is operationally honest. We default to multi-agent on day one using MCP and A2A protocols so the parts can evolve independently.
We have shipped and run real systems since 2022 across two ventures and seven consultancy offers. Demos are easy. Production-grade systems that survive the second quarter of operation, the third compliance review, and the first staff turnover are the moat.
Architecture opinions, compliance notes, and protocol field guides. Long enough to be useful, short enough to be read.
A single LLM call is a tactical convenience. An agent system with a defined role, tool surface, and handoff protocol is operationally honest. Why we default to multi-agent on day one, even when one prompt would technically work.
PIPEDA, HIPAA, SOC 2, and GDPR are not abstractions when you ship to a hospital network or an insurance carrier. The work begins with mapping data classes and ends with a control matrix the auditor can sign.
Two protocols have done more to make multi-agent systems boringly reliable than any framework: Model Context Protocol for tools, Agent-to-Agent for handoffs. A field guide for teams about to standardize.
Two at launch. New case study every four to six weeks as paying engagements close out and clients agree to be cited.
Open-source reference architecture for HVAC field-service identity, built on MCP and A2A protocols. Reviewed by enterprise integrators in Canada and contributors abroad. Used as our internal teaching artifact for agent-system design.
Built from concept to recognized innovation product, taking home the UNI Intellectual Property Award 2025 and the Ghana Innovative Product of the Year 2025. Beta operational with paying pilots in market and a productized rollout scoped for 2026.