Pre-seed · MVP in build

One platform that unifies your data, wherever it sits, open to every tool, migration path and AI agent that needs it.

Databridgr connects, structures, audits, exposes and migrates enterprise data in one governed platform, so a lightweight team runs its own migration instead of a six-to-24-month, multi-million-pound programme.

See how it works

83%

Migrations that fail or blow budget

$16B → $39B

SAP consulting market, 2025 → 2035

71%

AI time lost to data prep

The problem

Enterprise data migration is one of the most consistently failed categories of technology spend.

83%

of data migration projects fail outright or blow past budget and timeline. Only ~16–17% finish on time and on budget. Source: Gartner

55–75%

of ERP projects fail to meet objectives, with data migration consistently cited as a top cause. Source: Panorama

~30%

average cost overrun and ~41% schedule slippage across migration programmes. Source: Bloor Group

The reasons are structural: organisations underestimate legacy complexity, skip data cleansing, treat migration as an IT-only task, and hand it to teams who have never run one before.

The cost of getting it wrong

Migration is sold as a services programme, and the bill reflects it.

$1M–$8M is the typical cost of a mid-market SAP S/4HANA migration, of which 40–60% is systems-integrator consulting fees.

5–15% of the implementation budget goes to data migration alone, even when everything else goes to plan.

30–50% is the forecast rise in skilled migration-consultant rates through 2026–2027 as talent grows scarcer.

SAP consulting market alone

$16B$39B

2025 → 2035 forecast. A market this size exists precisely because the consultants, not the software, do the work.

Now blocking the AI wave

71%

of AI teams spend more than a quarter of implementation time on data integration before an agent can even be deployed.

Organisations are asked to run two expensive, failure-prone programmes at once: unify their data, and separately make it usable by AI agents. Today, almost nobody sells the same platform for both.

Source: CData, 2026 State of AI Data Connectivity Report

The solution

One platform. Five things, done automatically.

Collapsing three tools organisations buy separately into one: an integration tool, an SI-led migration programme, and a governance layer.

Connect

Cloud & on-prem databases, apps like Workday and SAP, structured or unstructured.

Structure

Into one cohesive, governed model, not a set of point-to-point pipes.

Audit

See lineage, quality and coverage without a separate governance tool.

Expose

APIs for conventional tools and AI agents. One layer feeds BI, apps and agents.

Migrate

Into new cloud infrastructure using the same model, not a bespoke one-off.

The result: a mid-market org runs its own migration with a lightweight team instead of a 6–24 month, multi-million-pound programme.

Why this is different, not just cheaper

Built for how enterprise data actually gets used in 2026.

Integration tools keep systems in sync

Fivetran, Airbyte and Boomi don't solve one-time structural migration or governance. That work is sold as a separate, services-led engagement.

Migration is overwhelmingly services-led

The integrator, not the software, does the heavy lifting. This is exactly why SAP consulting justifies $16B a year and rates keep rising.

Governance is a bolted-on third layer

Cataloguing (Informatica, now inside Salesforce) is typically bought separately and bolted onto the integration and migration work.

None were built for AI agents

MCP passed 97M monthly SDK downloads by March 2026, native to every major vendor. Databridgr is designed around it from day one, not retrofitted.

The market

A large, fast-growing category, and the acquirers agree.

$15–21B

Data integration software in 2026, growing 10–14% CAGR toward $30–50B by the early 2030s.

$19B → $109B

iPaaS market, 2026 → 2034 at 24.2% CAGR, with the agent layer growing fastest.

$150B+

Enterprise data market as Salesforce sized it, explaining the Informatica deal.

97M

Monthly MCP SDK downloads and 10,000+ active public servers. This is the part incumbents fit least.

Competition

The market consolidated into ecosystems. That's the room for a neutral layer.

Fivetran

$5.6B valuation; merging with dbt Labs

Per-row pricing customers renegotiate fast; sync only, not migration or governance.

Airbyte

$1.5B valuation; used by 18% of the Fortune 500

Great connector breadth, though community connectors vary; not a migration or governance product.

Boomi

iPaaS; positions around agent management

Agent support and migration are features bolted onto an integration-first product.

Informatica

Acquired by Salesforce for ~$8B (Nov 2025)

Enterprise-grade but increasingly tied into the Salesforce ecosystem, creating vendor lock-in.

Traditional SI migration

$150–$350/hr; 40–60% of migration budget

The segment Databridgr is built to shrink, not compete inside.

Business model

Recurring software, plus a wedge that converts SI budget into revenue.

Core subscription

Tiered by connected sources and data volume, priced to avoid the unpredictable per-row billing driving frustration with Fivetran.

Agent API access

A distinct tier: MCP-compatible endpoints exposing the unified layer to AI agents, where the incremental value sits.

Implementation service

Fixed-fee, not time-and-materials. The wedge that turns SI-led budget into Databridgr revenue.

Land & expand

First connection priced to get in the door; expansion from more connectors, volume and agent API access.