Algebra AI
Delivery led provider that builds and runs human governed AI agents for mid market businesses inside their existing systems, using a governed harness configured to each company's workflows, rules, and approvals, with the vendor owning the outcome.
Algebra AI, based in Dubai, builds and runs human governed agentic AI systems for mid market businesses, and it is as much a managed operator as a product. Founded in 2026 and led by co-founder and chief executive Anis Harb, who previously scaled Deliveroo across the Middle East to a billion dollars in gross transaction value, it launched from stealth with a seven million dollar seed round from Infinity Constellation, BECO Capital, Silicon Badia, and Waseel. Rather than handing a company software and walking away, Algebra maps the workflow, builds the agents, and then keeps running and improving them, taking responsibility for the outcome.
The core idea is a harness, the governed infrastructure that AI agents operate within, configured to a specific business's workflows, rules, and approval logic. Algebra starts by mapping a real operational workflow with its tools, channels, handoffs, and exceptions, then builds a secure knowledge base from the customer's data, procedures, rules, and approvals so agents follow the right steps. Agents run inside the systems a business already uses, such as Salesforce, SharePoint, and WhatsApp, processing requests, orders, reports, and cases, and they pause to ask for human approval wherever judgment, risk, or accountability matters, so nothing runs unattended. Algebra monitors the harness end to end, resolves issues, and refines what is live, and the company says the harness gets sharper with every workflow it runs as operational knowledge accumulates.
Because Algebra is delivery led and newly launched, its public material leans on outcomes rather than product specifics, and it is not a self serve platform, so it does not offer a developer facing builder, a choice of underlying model, a library of prebuilt agents, or browser automation. Its strengths are workflow integration, orchestration, knowledge grounding, human oversight, and a memory that accumulates across runs, with security and deployment governed but lightly documented so far. For a mid market operator, especially across the Gulf region, that wants a partner to build and run governed agents inside existing systems and own the result, Algebra is a compelling early option; a team wanting a self serve, model flexible platform to build its own agents will find it a managed service rather than a tool.
Vendor details
Canonical URL
https://getalgebra.ai
Category
Enterprise operations agent
Subcategory
Managed agentic AI operations for mid market
Funding status
Independent, based in Dubai, founded in 2026 and led by co-founder and chief executive Anis Harb, who previously scaled Deliveroo across the Middle East to a billion dollars in gross transaction value. Algebra AI launched from stealth in June 2026 with a seven million dollar seed round from Infinity Constellation, the venture arm associated with Invisible Technologies, alongside BECO Capital, Silicon Badia, and Waseel. It targets mid market businesses across the Gulf region in sectors such as financial services, food and beverage, distribution, and manufacturing.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Algebra's agents run inside the systems a business already uses, such as Salesforce, SharePoint, and WhatsApp, rather than in a separate tool, processing requests, orders, reports, and cases across those channels. Algebra maps each workflow with its tools, channels, handoffs, and exceptions, and builds a secure knowledge base from the customer's data, procedures, rules, and approvals to ground the agents.
In practice
Your operations run on manual steps across Salesforce, spreadsheets, and messaging, and you lack the engineering team to automate them. Algebra maps the workflow, builds governed agents inside those systems, and runs them for you.
You want AI in the business but cannot risk agents acting without oversight on high stakes decisions. Algebra's harness pauses for human approval wherever judgment, risk, or accountability matters, so nothing runs unattended.
Off the shelf AI tools stall because no one configures them to how your business actually works. Algebra ties every agent to a business outcome, then keeps monitoring and improving the system as your operations evolve.
Sources & related URLs
Research sources
Agentic Index coverage score
7.5 / 14 capabilities · 54%
| Integrations & Tool CallingAgents run inside the systems a business already uses, such as Salesforce, SharePoint, and WhatsApp, acting across tools, channels, and handoffs, Algebra AI docs 2026-07-07 | Full |
|---|---|
| Workflow OrchestrationMaps each workflow with its tools, channels, handoffs, and exceptions, and the harness orchestrates the steps end to end, Algebra AI docs 2026-07-07 | Full |
| Knowledge Grounding & RAGBuilds a secure knowledge base from the customer's data, procedures, rules, and approvals so agents follow the right steps, Algebra AI docs 2026-07-07 | Full |
| Human Oversight & GuardrailsAgents pause to ask for human approval wherever judgment, risk, or accountability matters, with rules and checks before work proceeds so nothing runs unattended, Algebra AI docs 2026-07-07 | Full |
| Security, Identity & GovernanceEmphasizes a secure knowledge base and governed approval logic, but formal security certifications and controls are not documented for the newly launched company, Algebra AI docs 2026-07-07 | Partial |
| Observability & AuditabilityAlgebra monitors the harness end to end with visibility and accountability, though this is vendor side monitoring rather than a documented customer facing audit surface, Algebra AI docs 2026-07-07 | Partial |
| Memory & State PersistenceThe harness accumulates operational knowledge and gets sharper with every workflow it runs, learning as the business evolves, Algebra AI docs 2026-07-07 | Full |
| Deployment & Data ResidencyAgents operate inside the customer's existing systems, with data residency implied for the region, but explicit deployment and residency options are not documented, Algebra AI docs 2026-07-07 | Partial |
| Prebuilt Agents, Templates & PacksEach engagement is custom mapped and built rather than drawn from a library of prebuilt agents or templates, Algebra AI docs 2026-07-07 | Unable to verify |
| Triggers & Channel CoverageAgents are triggered by business events within workflows and reach users on channels like WhatsApp, though triggering and channel breadth are lightly documented, Algebra AI docs 2026-07-07 | Partial |
| Model Flexibility & RoutingAs a managed service Algebra selects the stack, with no documented customer choice or routing of the underlying model, Algebra AI docs 2026-07-07 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityDelivered as a managed service with no self serve developer builder, SDK, or public API surface documented, Algebra AI docs 2026-07-07 | Unable to verify |
| Testing, Debugging & OptimizationAlgebra continuously monitors, resolves issues, and refines live agents, though there is no customer facing testing, evaluation, or simulation surface, Algebra AI docs 2026-07-07 | Partial |
| Browser & Computer UseAgents act through integrations and messaging channels rather than driving a browser or operating a computer interface, Algebra AI docs 2026-07-07 | Unable to verify |
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Not public; quoted per engagement as a delivery led managed service that builds and runs the workflows
managed engagement scoped to the workflows built and run, with a services component
What is public
No list pricing. Algebra sells as a delivery led managed service that maps, builds, and runs governed agentic workflows, owning the outcome, so cost is quoted per engagement.
Billing mechanics
Presumed managed engagement scoped to the workflows Algebra builds and runs, combining platform and ongoing operation with build and mapping services, though rates are not disclosed.
Cost watchouts
As a delivery led managed service, expect a meaningful services component for mapping, building, and running workflows, and cost that grows with the number and complexity of workflows taken on.
Variable cost rationale
Scoped as a managed engagement, so cost grows with the number and complexity of workflows built and run and the ongoing operational effort Algebra takes on, with a services component alongside the platform.
Additional watchouts
Confirm how pricing scopes to the number and complexity of workflows, how the ongoing managed operation prices against the initial build, and what is owned by the customer versus the vendor.
Sales call required
Yes, required for paid access
Free / trial
Consultation and scoping on request; no public free tier
Key ambiguities
No public rate is disclosed, and the split between platform, ongoing managed operation, and one time build and mapping services is not clear.
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Alternatives to Algebra AI
The closest documented capability profiles to Algebra AI among enterprise operations agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Brief6.5 / 14A lighter documented profile than Algebra AI
- Balerion AI7.0 / 14Adds documented Prebuilt Agents, Templates & Packs
- Brev8.0 / 14Adds documented Prebuilt Agents, Templates & Packs
- Planned8.0 / 14Adds documented Prebuilt Agents, Templates & Packs
- Qorelo8.0 / 14Adds documented Prebuilt Agents, Templates & Packs and APIs, SDKs & MCP Extensibility
- Thefword9.0 / 14Adds documented Prebuilt Agents, Templates & Packs and APIs, SDKs & MCP Extensibility
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded