{
  "contract": "sourcey.site-record/v1alpha1",
  "release_id": "sha256:065756b347c3485c5c9e9abea3d3b91abb57716db23341ccdd58215737ad6d65",
  "snapshot_id": "sha256:033f1a45a8194770df62db79885359937a0009e0c7f40b7c2d3c9aea62c9b447",
  "artifact_sha256": "sha256:6502b892d7170a66a3c238bf5dee59831848615b8f8eda02f240b72ffb76f8ad",
  "data": {
    "entity_id": "ent_01kzv8zammx9jrvxmd8yn18bmv",
    "slug": "flexai",
    "name": "FlexAI",
    "description": "FlexAI provides infrastructure for AI inference, fine-tuning, training, dedicated endpoints, agent workloads, and private AI clouds.",
    "website": "https://flex.ai",
    "category": "ai-ml",
    "revision_digest": "sha256:ad1d18aac0f6c030d150e42439e89b7c240b99daf2cee8b0fdd01e807224df8b",
    "provenance": {
      "tier": "observed",
      "freshness": "fresh",
      "dispute": "none",
      "coverage_policy_digest": "sha256:ad047d71e9ec777fe3f9d12e69ce5a567bbac4ca00ef71096415d2c125608a34",
      "freshness_policy_digest": "sha256:f4e31a29c2ce994bb8c3009207294ffa086e82b8e0d695abc95d6d6bdb30c2e5",
      "basis_event_ids": [
        "sha256:2a0824c7fa810f551944d0463ca8e7f3f8b6a33db0b56c24e8d85806feb51d10"
      ],
      "fields": [
        {
          "path": "/name",
          "supporting_event_ids": [
            "sha256:2a0824c7fa810f551944d0463ca8e7f3f8b6a33db0b56c24e8d85806feb51d10"
          ],
          "contradicting_event_ids": [],
          "accepted_proof_kinds": [
            "observed"
          ],
          "evidence_proof_kinds": [
            "observed"
          ],
          "latest_observation_at": "2026-08-14T02:52:19.651Z",
          "freshness": "fresh"
        },
        {
          "path": "/description",
          "supporting_event_ids": [
            "sha256:2a0824c7fa810f551944d0463ca8e7f3f8b6a33db0b56c24e8d85806feb51d10"
          ],
          "contradicting_event_ids": [],
          "accepted_proof_kinds": [
            "observed",
            "editorial"
          ],
          "evidence_proof_kinds": [
            "editorial"
          ],
          "latest_observation_at": "2026-08-14T02:52:19.651Z",
          "freshness": "fresh"
        },
        {
          "path": "/domains",
          "supporting_event_ids": [
            "sha256:2a0824c7fa810f551944d0463ca8e7f3f8b6a33db0b56c24e8d85806feb51d10"
          ],
          "contradicting_event_ids": [],
          "accepted_proof_kinds": [
            "observed"
          ],
          "evidence_proof_kinds": [
            "observed"
          ],
          "latest_observation_at": "2026-08-14T02:52:19.651Z",
          "freshness": "fresh"
        },
        {
          "path": "/category",
          "supporting_event_ids": [
            "sha256:2a0824c7fa810f551944d0463ca8e7f3f8b6a33db0b56c24e8d85806feb51d10"
          ],
          "contradicting_event_ids": [],
          "accepted_proof_kinds": [
            "editorial"
          ],
          "evidence_proof_kinds": [
            "editorial"
          ],
          "latest_observation_at": "2026-08-14T02:52:19.651Z",
          "freshness": "fresh"
        },
        {
          "path": "/links",
          "supporting_event_ids": [
            "sha256:2a0824c7fa810f551944d0463ca8e7f3f8b6a33db0b56c24e8d85806feb51d10"
          ],
          "contradicting_event_ids": [],
          "accepted_proof_kinds": [
            "observed"
          ],
          "evidence_proof_kinds": [
            "observed"
          ],
          "latest_observation_at": "2026-08-14T02:52:19.651Z",
          "freshness": "fresh"
        }
      ]
    },
    "programs": [
      {
        "program_id": "prg_01kzv8zampryswkyzsrxcc4sgg",
        "slug": "flexai-startup-program",
        "title": "FlexAI Startup Program",
        "summary": "FlexAI's apply-only startup program combines Token Factory credits and staged discounts for AI-native teams running continuous production inference or agent workloads.",
        "revision_digest": "sha256:4c4b69979a51532089a978d875f893fed4601969bb9b4af625c63fda59a4b56b",
        "provenance": {
          "tier": "observed",
          "freshness": "fresh",
          "dispute": "none",
          "coverage_policy_digest": "sha256:ad047d71e9ec777fe3f9d12e69ce5a567bbac4ca00ef71096415d2c125608a34",
          "freshness_policy_digest": "sha256:f4e31a29c2ce994bb8c3009207294ffa086e82b8e0d695abc95d6d6bdb30c2e5",
          "basis_event_ids": [
            "sha256:3b071e3bb9c3ba75b307641068b8dcac6414a84a991da5eff801de11b919c968"
          ],
          "fields": [
            {
              "path": "/title",
              "supporting_event_ids": [
                "sha256:3b071e3bb9c3ba75b307641068b8dcac6414a84a991da5eff801de11b919c968"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "editorial"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-08-14T02:52:19.651Z",
              "freshness": "fresh"
            }
          ]
        }
      }
    ],
    "offers": [
      {
        "program_id": "prg_01kzv8zampryswkyzsrxcc4sgg",
        "offer_id": "off_01kzv8zampj922nj4ne564graj",
        "slug": "startup-credits-and-staged-discounts",
        "title": "FlexAI startup credits and staged discounts",
        "summary": "Approved startups receive $1,000 in Token Factory credit, six months of staged Token Factory discounts, and up to $20,000 in dedicated-compute savings.",
        "economics": {
          "consideration": {
            "kind": "unknown",
            "description": "The public program page does not establish a separate program fee."
          },
          "benefits": [
            {
              "benefit_id": "ben_01",
              "description": "$1,000 in Token Factory credit",
              "kind": "credit",
              "value": {
                "kind": "exact",
                "amount": {
                  "currency": "USD",
                  "minor_units": 100000
                }
              }
            },
            {
              "benefit_id": "ben_02",
              "description": "50% off the first three months of Token Factory usage after the program credit",
              "kind": "discount",
              "percentage": {
                "kind": "exact",
                "basis_points": 5000
              },
              "applies_to": "First three months of Token Factory usage after the program credit",
              "duration": {
                "kind": "exact",
                "value": "P3M"
              }
            },
            {
              "benefit_id": "ben_03",
              "description": "30% off the next three months of Token Factory usage",
              "kind": "discount",
              "percentage": {
                "kind": "exact",
                "basis_points": 3000
              },
              "applies_to": "Next three months of Token Factory usage",
              "duration": {
                "kind": "exact",
                "value": "P3M"
              }
            },
            {
              "benefit_id": "ben_04",
              "description": "50% off published dedicated-compute and managed fine-tuning prices for six months, up to $20,000 in savings",
              "kind": "discount",
              "percentage": {
                "kind": "exact",
                "basis_points": 5000
              },
              "applies_to": "Published dedicated-compute and managed fine-tuning prices",
              "duration": {
                "kind": "exact",
                "value": "P6M"
              }
            }
          ]
        },
        "eligibility": {
          "rule": {
            "kind": "all",
            "rules": [
              {
                "kind": "any",
                "rules": [
                  {
                    "kind": "manual",
                    "criterion_id": "cri_01",
                    "statement": "The applicant has at least $1 million in venture or accelerator backing.",
                    "reason": "external-verification"
                  },
                  {
                    "kind": "manual",
                    "criterion_id": "cri_02",
                    "statement": "The applicant has a validated production workload.",
                    "reason": "external-verification"
                  }
                ]
              },
              {
                "kind": "manual",
                "criterion_id": "cri_03",
                "statement": "The applicant is building an AI-native product where inference is central rather than a side feature.",
                "reason": "external-verification"
              },
              {
                "kind": "manual",
                "criterion_id": "cri_04",
                "statement": "The applicant has at least one ML or AI engineer on staff.",
                "reason": "external-verification"
              },
              {
                "kind": "manual",
                "criterion_id": "cri_05",
                "statement": "The applicant has a continuous inference or agent workload in production rather than a project-based workload.",
                "reason": "external-verification"
              },
              {
                "kind": "manual",
                "criterion_id": "cri_06",
                "statement": "FlexAI reviews and approves the application.",
                "reason": "vendor-discretion"
              }
            ]
          }
        },
        "roles": {
          "terms_authority_entity_id": "ent_01kzv8zammx9jrvxmd8yn18bmv",
          "access_operator_entity_id": "ent_01kzv8zammx9jrvxmd8yn18bmv"
        },
        "access": {
          "availability": "public",
          "method": "form",
          "url": "https://www.flex.ai/startups",
          "instructions": "Book an intro call from the Startup Program page; FlexAI says applications are reviewed within 10 business days."
        },
        "terms_url": "https://www.flex.ai/startups",
        "lifecycle": "active",
        "effective_from": "2026-08-12T15:20:38.000Z",
        "revision_digest": "sha256:03c3dc32003ab8874765e59e0ff67129a47c2af7e27367669f15845e245ed819",
        "provenance": {
          "tier": "observed",
          "freshness": "fresh",
          "dispute": "none",
          "coverage_policy_digest": "sha256:ad047d71e9ec777fe3f9d12e69ce5a567bbac4ca00ef71096415d2c125608a34",
          "freshness_policy_digest": "sha256:f4e31a29c2ce994bb8c3009207294ffa086e82b8e0d695abc95d6d6bdb30c2e5",
          "basis_event_ids": [
            "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
          ],
          "fields": [
            {
              "path": "/title",
              "supporting_event_ids": [
                "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "editorial"
              ],
              "evidence_proof_kinds": [
                "editorial"
              ],
              "latest_observation_at": "2026-08-14T02:52:19.651Z",
              "freshness": "fresh"
            },
            {
              "path": "/summary",
              "supporting_event_ids": [
                "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "editorial"
              ],
              "evidence_proof_kinds": [
                "editorial"
              ],
              "latest_observation_at": "2026-08-14T02:52:19.651Z",
              "freshness": "fresh"
            },
            {
              "path": "/lifecycle",
              "supporting_event_ids": [
                "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-08-14T02:52:19.651Z",
              "freshness": "fresh"
            },
            {
              "path": "/economics",
              "supporting_event_ids": [
                "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-08-14T02:52:19.651Z",
              "freshness": "fresh"
            },
            {
              "path": "/eligibility",
              "supporting_event_ids": [
                "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed"
              ],
              "evidence_proof_kinds": [
                "observed"
              ],
              "latest_observation_at": "2026-08-14T02:52:19.651Z",
              "freshness": "fresh"
            },
            {
              "path": "/roles",
              "supporting_event_ids": [
                "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "derived"
              ],
              "evidence_proof_kinds": [
                "derived",
                "observed"
              ],
              "latest_observation_at": "2026-08-14T02:52:19.651Z",
              "freshness": "fresh"
            },
            {
              "path": "/access",
              "supporting_event_ids": [
                "sha256:390f7479eb42e02a6bc8706c0247e02c7dff75c1e7c71f680d109c26d2316f96"
              ],
              "contradicting_event_ids": [],
              "accepted_proof_kinds": [
                "observed",
                "derived"
              ],
              "evidence_proof_kinds": [
                "derived",
                "observed"
              ],
              "latest_observation_at": "2026-08-14T02:52:19.651Z",
              "freshness": "fresh"
            }
          ]
        }
      }
    ]
  }
}