Depth
The four pillars merge into one operational architecture. The gap between strategy, brand, MarTech, and enterprise systems closes — clients run on a shared data model, a shared agent network, and a shared dashboard.
vision
Our 2030 thesis, the market we see, and the five-year roadmap.
By 2030, Turkey's mid-market won't buy software. It will rent AI-native operations built around its own processes. We're building the team that runs it.
beynart isn’t a software house. We’re a team running strategy, brand, MarTech, and enterprise systems work under one operational discipline. Over the next five years, we want to define what that discipline means for Turkey’s mid-market.
A mid-market company in Turkey (50–500 employees, USD 5M–80M revenue) is stuck between two bad choices today.
Option one: buy off-the-shelf software. SAP, Salesforce, HubSpot. Licenses are expensive. Implementation runs 6–18 months. The result is a company forced to adapt to its software, not the other way around. The thing that makes mid-market companies actually work — a founder making a decision in the morning and seeing it in operations by evening — gets buried under the software layer.
Option two: build an in-house software team. A CTO, three developers, a product manager. Monthly burn: USD 30K–60K. Within three years the team breaks apart, the product accumulates debt, or the founder ends up managing the software instead of the business.
A third option will become standard over the next five years: AI-native, modular, built from the outside but evolved on the inside. The numbers back this. McKinsey’s 2025 mid-market report shows 62% of B2B mid-market companies would rather rent custom software built around their own processes than buy a generic platform. In Turkey that number runs higher, because mid-market here moves faster than enterprise but doesn’t have access to the infrastructure enterprise uses.
Our thesis: a new class of company will fill that gap. Not a software vendor. Not a consultancy. Not an agency. An operational partner — the team that ties a client’s strategy, brand, data infrastructure, and day-to-day production into one running system. Three signals tell us the market is ready: AI shifting from a feature to a fabric, modular SaaS economics finally working under rental contracts, and a new generation of Turkish mid-market leaders (founders and CEOs aged 35–50) saying out loud that running a company on spreadsheets is over.
We sit at the intersection of those three shifts.
A vision means nothing without what comes out of it. Over the next three years we’re producing four capability layers.
A modular product suite. SalesCave (textile and production operations) and crm2b (custom CRM) are live now. By the end of 2027, three more verticals: finance operations (month-end close from 5 days to 1 day), production tracking (order to product to dispatch on one screen, eventually moving past manufacturing into retail and services), and customer service (AI agent plus human team in one unified interface). Each module stands alone. Together, they become the entire spine of a mid-market company on a single data model.
An agent network. AI isn’t a feature for us — it’s the fabric of the operation. In 2026, three to five focused agents per pillar (synthesizing strategy hypotheses, automating campaigns, catching financial anomalies, categorizing customer conversations). By 2028, those agents talk to each other — the campaign agent queries the CRM agent, the finance agent flags an anomaly to the strategy agent, the production agent sends a notice to the supply-chain agent. Humans focus on judgment-heavy decisions while the rest runs as an autonomous chain.
A shared data layer. Every piece of data a company owns — orders, customer interactions, financial records, production tracking — sits in one warehouse. Every product and every agent we ship reads from it, writes to it, enriches it. The client doesn’t need to hire a CTO to run data operations. The data operation runs itself. And the data stays the client’s asset — if the contract ends, the warehouse moves to the client, not back to us.
The operational partnership model. Not a project. An operation. Client team plus beynart team working on one rhythm — weekly data reviews, monthly decision sprints, quarterly strategy adjustments. Not a SaaS license but a service contract; 70% of that service is automation and 30% is human judgment. That ratio is a design choice — less automation doesn’t generate value, more automation strips out the human touch a mid-market company actually needs.
By 2030, we want beynart to be the operational infrastructure of Turkey’s mid-market. We don’t want to build it alone. We’re looking for three kinds of partners.
Founding clients. Ten to fifteen companies that don’t want a typical vendor relationship and would rather co-develop their own AI-native operation alongside us. Working on real problems that cut across three pillars at once keeps our product roadmap honest to the field.
Pillar specialists. People with deep expertise in strategy, brand, MarTech, or enterprise software who want to multiply that expertise inside a team. beynart isn’t a ladder — it’s a discipline. Expertise becomes a team sport here.
Technical partners. People who want to build the modular product suite with us — agent infrastructure, data pipelines, product engineering. Not contributing to a finished product, but shaping what the product becomes.
This vision reads big on the page. The truth underneath is simpler — over the next five years, what “software infrastructure” means for Turkish mid-market companies is changing. We want to be the team running that change. We’d like to have you with us.
The four pillars merge into one operational architecture. The gap between strategy, brand, MarTech, and enterprise systems closes — clients run on a shared data model, a shared agent network, and a shared dashboard.
Three new vertical products join SalesCave and crm2b — AI-native modules for finance operations, production tracking, and customer service. Each works on its own. Together they become the spine of a mid-market company.
Humans on the client side, AI agents on ours, one shared data layer between. Routine operations — campaign optimization, financial anomalies, production reporting — run autonomously around 70% of the time. People focus on the 30% that needs judgment.
We bring the systems — and the products — already built for it, ready to run, not just to pitch.