Partner with Softlander

We’re looking for partners building the future of agentic AI.

AI technology providers, engineering firms, assurance specialists and knowledge partners: explore how your strengths could complement Softlander’s work.

We’re a newly established consultancy headquartered in Ajman, UAE, with a remote workforce in India. We welcome partner conversations worldwide; travel can be arranged for an agreed scope.

Propose a partnership Explore collaboration options

Collaboration options

Find the opportunity that fits your organisation

These are proposed ways to work together. Start with one customer problem or research question, then confirm the expertise and capacity each side can contribute.

AI platforms and tooling providers

Agent platforms, models, infrastructure and developer tools.

You could contribute: Platform expertise, sandbox access and clear product or integration constraints.
We could contribute: A workflow-based evaluation design, integration questions and a structured account of evidence gaps.
A useful first artefact: A compatibility and evaluation brief for one customer-relevant workflow.

Technology and platform alliance

Joint work with platform, model, tooling or infrastructure providers where we could combine workflow evaluation and implementation guidance with the partner’s platform expertise.

Engineering and delivery firms

System integration, implementation and operational expertise.

You could contribute: Implementation capacity, system integration knowledge and an accountable technical owner.
We could contribute: A scoped harness, evaluation or architecture workstream connected to the delivery team’s acceptance criteria.
A useful first artefact: A joint delivery charter separating implementation, review and client decisions.

Implementation or delivery partnership

Systems integrators and engineering firms who build agentic systems and need complementary evaluation, security review or transformation support alongside delivery. Reviewer separation is agreed for each engagement.

Security and assurance specialists

Security testing, additional review and specialist investigations.

You could contribute: Demonstrable specialist testing or review expertise, with authorised methods and qualified reviewers.
We could contribute: Agent workflow context, an authority model and a coordinated evidence or remediation workstream.
A useful first artefact: A rules-of-engagement and reviewer-responsibility plan for one bounded assessment.

Evaluation or assurance collaboration

Specialists who could contribute an additional review perspective. Conflicts, prior delivery involvement and reviewer responsibilities must be assessed before any independence claim.
Incident response or specialist subcontracting

Specialist firms for incident response, forensic review or niche technical work that complements Softlander’s scope.

Research and standards organisations

Evaluation methods, benchmarks and shared research.

You could contribute: Research expertise, methods, datasets or standards context with clear usage rights.
We could contribute: A practical enterprise-agent question, a proposed evaluation protocol and interpretation for business decisions.
A useful first artefact: A reproducible experiment brief with publication, attribution and data-use terms.

Research, benchmark or standards collaboration

Academic groups, standards bodies and labs working on agent evaluation, security or governance where shared evidence benefits both parties.

Training providers

Learning programmes and practical capability development.

You could contribute: Learning design, facilitation expertise and access to an appropriate learner group.
We could contribute: Agentic AI decision scenarios, technical examples and a proposed role-specific learning agenda.
A useful first artefact: A workshop outline and one illustrative exercise to test with the intended learners.

Training and capability transfer

Learning providers and enterprises building internal capability in agent evaluation, security and governance.

Industry and regional advisers

Sector knowledge, customer relationships and local delivery.

You could contribute: Sector expertise, local context and customer relationships shared with permission.
We could contribute: A specialist AI scope that connects the customer’s workflow to engineering, evaluation or governance questions.
A useful first artefact: A customer-problem brief and an agreed introduction or delivery handoff.

Channel, referral or co-selling

Advisory and professional-services firms whose clients need agentic AI assurance and who want a specialist to refer to or sell with.
Regulated-industry or professional-services partnership

Firms in regulated sectors that need agentic AI work to fit their professional obligations and review structures.
Regional delivery or market entry

Advisers and delivery firms who understand local customers, procurement and operating requirements, with responsibilities agreed for each opportunity.

Working arrangements

Choose a model with clear customer ownership

The relationship should make the customer’s decision easier. Agree the commercial and delivery responsibilities before presenting a joint commitment.

One shared problem, explicit contributions

Customer or learner need: Name the workflow, decision or skill the collaboration should improve.
Complementary contribution: Confirm what each party can evidence, deliver and maintain.
A bounded first step: Agree an artifact, acceptance criteria and a decision to continue or stop.

A proposed contribution becomes a commitment only after scope, capacity and responsibilities are agreed.

Referral or introduction

One party makes an introduction with permission. Agree who follows up and whether the referring party remains involved. No referral fee or commission is assumed.

Prime and subcontractor

Name the party holding the customer contract and the bounded workstream supplied by the other. Agree acceptance, client communication, payment dependencies and support responsibilities.

Joint scope or co-delivery

Define each contribution, customer contact and decision owner. Choose a clear contracting route; a shared proposal does not make accountability or liability automatically shared.

Research or training collaboration

Agree the research question or learner outcome, contribution rights, costs and review process. Publication, attribution and reuse need explicit agreement.

Approach

How a partnership conversation runs

Start small and make the next decision explicit

Share the opportunity
Bring your organisation, relevant expertise, target customer problem and preferred way of working. Avoid confidential customer information in the first inquiry.
Check fit and evidence
Review capability proof, capacity, conflicts, customer permissions and commercial feasibility. Pause if a material gap cannot be resolved.
Agree the first piece of work
Name the owners, deliverable, acceptance criteria, data/IP terms and contracting route before beginning a bounded collaboration.
Continue, change or stop
Review the artifact and customer value. Expand only with evidence and agreement; close or re-scope if responsibilities, quality or economics do not work.

A conversation is an opportunity to assess fit; it does not establish an active partnership or authorise a customer commitment.

Customer relationships and commercial terms

Record who originated the opportunity, who may contact the customer, who owns each handoff and how the relationship continues. Fees, referral arrangements and material commercial interests are agreed and disclosed where relevant; introductions never imply a commission.

Data, confidentiality and intellectual property

Share customer information only with authorisation and an agreed confidentiality basis. Define access, permitted tools, retention and deletion before work. Separate existing intellectual property from new outputs and agree ownership, licences, attribution and reuse.

Conflicts and the credibility of a review

Disclose platform incentives, commissions and earlier design or delivery involvement. Separate builders and reviewers where the scope needs it; appointing a second firm alone does not establish independence. If a conflict cannot be managed, narrow the claim, change the reviewer or decline the work.

A relationship that can evolve or end

Start without presumed exclusivity. Name escalation contacts, review the value of the arrangement and agree how to exit, transfer open work and revoke access. Customer commitments and use of either party’s name or logo require authorisation.

Explore a partnership

Tell us your organisation, the customer problem or research question, the expertise you can contribute and the first piece of work you have in mind.

Send a partnership inquiry

A little more clarity

Questions worth asking.

Start with the questions that shape a better decision.

What makes a partnership relevant to Softlander?

A relevant partnership combines complementary expertise around a specific enterprise agent problem. Examples include platform engineering, evaluation, identity and security, industry knowledge, research methods or regional delivery capability.

How would a joint engagement be scoped?

The parties would define the customer problem, responsibilities, evidence and quality expectations, data boundaries, commercial ownership and escalation route before presenting a joint offer or beginning delivery.

Can a platform company propose a collaboration?

Yes. The strongest proposal identifies the workflow or buyer decision the collaboration would improve, the platform evidence available and the contribution expected from each party. A discussion does not imply endorsement or an active partnership.