Chatbots and Workerbots, Coding agents, CoPilots, Legal docs creation etc.
2026
Decision Systems
The advent of enterprise-specific and
fund-specific decision systems that can address a variety of use cases
2024 Foundational Models
Foundation models that did single-shot reasoning
2025 Authoring & Agents
Chatbots and Workerbots, Coding agents, CoPilots, Legal docs creation etc.
2026 Decision Systems
The advent of enterprise-specific and
fund-specific decision systems that can address a variety of use cases
The GAP
Organizations have spent decades building infrastructure
for code, for data, and for revenue tracking
Decisions have no comparable infrastructure
Generative AI has made this gap urgent. AI is already making decisions, often invisibly, without audit trails, validation gates, or explainability. In regulated industries, this exposure is inevitable
No
Governance
No consistency, auditability, or explainability.
No validation gates,
no audit trail,
no way to prove what happened or reconstruct why.
Neither Accurate nor
Complete
Results degrade in longer reasoning chains. Outputs are neither complete nor verifiable or reliably repeatable.
Not Enterprise or Domain Specific
No understanding of enterprise policies, fund criteria, or domain-specific terms. Cannot query across multiple systems of record with shared context.
Our Products
Built in investment
Expanding into the enterprise
Decision Intelligence Application (DIA)
InvestSphere – Decision Intelligence Application for Investment
Decision Intelligence for GPs and LPs:
Fund-level organizational decision making
Spheresmith's technology is built on three foundations
Domain ontologies and ontological reasoning
Structures enterprise knowledge. Augments LLMs with ontologies to produce high-quality decision artifacts. Outputs are consistent, explainable, and operationally usable.
A use-case
platform
Generates reusable, traceable decision artifacts. Captures inputs, assumptions, sources, policies, and reasoning. Outcomes are transparent, auditable, and repeatable.
Domain-fine-tuned private LLMs
Optimized for auditability, cost control, and performance. Private deployment ensures data never leaves your environment.
Capabilities
High-quality decisions across multiple Systems of Record
Governance-driven
Grounded in enterprise beliefs, principles, policies, processes, roles and permissions, with full auditability
Multiple Systems of Record-driven
Built on verifiable data lineage, domain ontologies, regulatory constraints, and point-in-time data states. Leveraging MCP-style access to Systems of Record
Workflow and approval aware
Enabling closed-loop decision narratives with structured approvals and traceable outcomes